FAIZAN ASHRAF

FAIZAN ASHRAF

Followers of FAIZAN ASHRAF4000 followers
location of FAIZAN ASHRAFJharkhand, India

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  • Timeline

  • About me

    Google DSC LEAD | Data Scientist | Microsoft Student Ambassador | Student Mentor at Spark Foundation and GFG | Data Science ML trainer | Loves to 🎤👨‍🍳

  • Education

    • Oxford Public School - India

      -
      High School 81%
    • Gandhi Institute of Engineering and Technology (GIET), Gunupur

      2019 - 2023
      Bachelor of Technology - BTech Computer Science 9.2 CGPA
  • Experience

    • The Sparks Foundation

      Nov 2020 - Mar 2021

      As a Data and Bussiness Analyst, I have worked on 5 Projects in this Internship. Also, I was given the task as a mentor to help another Intern regarding their Technical issue with their tasks.

      • Student Mentor

        Dec 2020 - Mar 2021
      • Data & Business Analytics

        Nov 2020 - Dec 2020
    • EnR Consultancy Services

      Nov 2020 - Mar 2023
      Software Engineer

      1) Work in Team in Projects Like Online Examination Portal, Smart Fridge, Ai-based Face Attendance, and many more.2) Works in Technology like Google cloud, ML, Deeplearning, Django.3) Worked with teams on a Client projects using technologies like Python, Azure, ML, Docker, AI, Deep learning, Power BI, Research, NLP, Django. Played a major role in Client Meetings as a Technical Lead4) Played the role of Team Lead in multiples projects. Looking into the client requirements, research, problem solving, team management.5) Apart from that, I am also responsible to train the new candidates on the topic related to data science and machine learning. Show less

    • Professional Cipher

      Nov 2020 - Jan 2021

      • As a Ml and Datascience Trainer I have trained and guided more than 1000 students. • I have trained students in different Ml algorithm which includes Trees , Random forest, Clustering and many more.• I have also trained students in data analysis and data visualization. • As a Community Trainer in Data Science and Machine Learning.• I have trained more than 1000 of students in the field of Data Science, Data Analysis, Data Mining, Machine Learning from real-world Data set and also trained students in various ML projects including covid-19 pandemic Analysis, IPL matches Analysis, Bank loans Analysis and many more.

      • Machine learning trainer

        Dec 2020 - Jan 2021
      • Python and data science trainer

        Nov 2020 - Dec 2020
    • Microsoft

      Apr 2021 - Mar 2023

      Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities and develop technical and career skills for the future.I had a wonderful session with the senior Ambassador during this time and really learned a lot, With Microsoft learning, I put my hands in Learning Azure fundamentals and ML and AI with Microsoft Azure. 1) Conducted Many Workshops and webinars in my college, as well as for learners all around the Globe.2) Attended many workshops organized by Microsoft Student Ambassadors.3) Learned about Microsoft Azure and made two real-world projects using the services provided by Azure.

      • Microsoft Student Ambassador-Alpha1

        Apr 2021 - Mar 2023
      • Microsoft Learn Student Ambassador Alpha

        Apr 2021 - Mar 2023
      • Microsoft Student Ambassador Beta

        Apr 2021 - Mar 2023
    • DeepLearning.AI

      May 2021 - Mar 2023

      1) Took a session on NLP using Python.2)The main objective of the event was How spam email is detected and how we can use Python to start working in the Field. 1) Took sessions on Deep learning and AI and mentored students all around the Globe in the Field.2) Working in Real-World projects in the Domain of Data Science and AI, in topics like Teaching with the use of AI, Environment Conservation.3) Got mentorship from a few of the most motivated AI, ML enthusiasts which help me learn more and more in the Field.

      • Event Ambassador and Trainer

        Jun 2021 - Mar 2023
      • Student Partner

        May 2021 - Mar 2023
    • GeeksforGeeks

      May 2021 - Mar 2023
      Student Lead

      1) Lead a Team of 10 People and worked together in Conducting Different types of Webinars and Hackathons in the College.2) Our Teams helped other Students with their Overall development including Teamwork, Profile Building, Coding Practice and many more.

    • Google Developers

      Jul 2021 - Mar 2023

      1) Selected as a Google Cloud Facilitator from Google.2) Got training from Googlers in Google Cloud Technologies.3) Trained more than 100+ Students in Google Cloud Platform.4) Took weakly sessions on cloud computing, AI, ML, DATA SCIENCE, BIG DATA, NLP, DEEP LEARNING and many more for the Learners. 1) Lead a team of 22 Members and work as a team to organize a hackathon, Webinars, WorkShops.2) Lead around 15+ teams and guided them in Project Building in Android, Web Development, Cloud, ML, Data Science, IoT, App Development.

      • Google Cloud Facilitator

        Sept 2021 - Mar 2023
      • DSC LEAD

        Jul 2021 - Mar 2023
    • Brane Enterprises Pvt Ltd

      Sept 2021 - May 2024

      Implemented a Smart Retail System: Developed an advanced camera-based solution for customer tracking and analytics, leading to a 40% increase in sales by optimizing store layouts and enhancing customer experience, impacting over 50,000 shoppers monthly.Developed VFVI Device: Created a device for visually impaired individuals, enabling document reading, navigation, and face recognition on edge devices with 90% accuracy, significantly improving daily independence for over users.Engineered Surveillance System: Built a live detection system for security applications in airports, police stations, and public places, reducing response time by 80% and achieving high accuracy in incident detection, enhancing safety for millions of travelers and public users.Enhanced Scrap Detection System: Designed a real-time scrap detection and segregation system, decreasing processing time by 80% and improving operational efficiency, impacting waste management processes in yards. Show less Developed an AGI system: Detected 9,605 objects with applications in food, animals, vehicles, and fashion, achieving 95% accuracy using deep learning techniques, impacting over 10,000 users in real-world deployments.Enhanced NSL's no-code platform: Improved AI and backend features for software and IoT solutions, utilizing NLP to streamline user interactions, increasing user engagement by 40%.Implemented NLP solution: Created a pipeline converting natural language input into actionable recommendations, reducing solution development time by 30% and boosting user satisfaction by 25%.Engineered a recommendation system: Used cutting-edge machine learning algorithms to match user requirements with solutions, enhancing system efficiency by 50% and handling over 5,000 user queries monthly. Show less Developed a 10k classification model using advanced methodologies, including data augmentation and hyperparameter tuning, optimizing accuracy and efficiency.Conducted feature engineering on a dataset with 10k objects, systematically labeled data to enhance model interpretability and performance.Enhanced automated CutMix models for improved feature engineering, developed a custom algorithm for dendrograms, and implemented YOLO, CNN, and RNN models, including RNN LSTM for stock price prediction. Show less

      • Machine Learning Engineer (PL)

        Jan 2024 - May 2024
      • Machine Learning Engineer (APL)

        Mar 2023 - Dec 2023
      • Machine Learning Engineer (Intern)

        Sept 2021 - Mar 2023
    • Artivatic - Insurtech | Healthtech

      Jun 2024 - now
      Data Scientist

      Developed and deployed AI-driven solutions for Insurance and finance fraud detection and automated claim authenticity, delivering APIs in computer vision, NLP, and premium calculation.Implemented LLMs and RAG models to automate claims authenticity and analytics, achieving a 70% reduction in processing time for claim understanding, health scoring, finance scoring, and KYC solutions.Improved operational efficiency and client satisfaction through innovative AI and ML solutions, tailored to the finance and healthcare sectors. Show less

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to FAIZAN ASHRAF
      Microsoft Learn Student Ambassador Microsoft Apr 2021 Learn Student Ambassadors are a global group of campus leaders who are eager to help fellow students, create robust tech communities and develop technical and career skills for the future.URL CERTIFICATE - https://studentambassadors.microsoft.com/certificate/0cd52820-8259-4891-958c-d7b4eccdbccf
    • Awarded to FAIZAN ASHRAF
      Badge for IBM Data Science Professional Certificate IBM Oct 2020 Link - https://www.youracclaim.com/earner/earned/badge/64007152-6dee-4fcd-a204-56a457c66c43Here is my IBM data science professional Certificate Course Badge. For completing all my assignment 30hr project.
    • Awarded to FAIZAN ASHRAF
      Badge from IBM for Machine Learning IBM Oct 2020 Got badge from IBM for completing my Capstone project and successfully completing all graded Assignment and quizzes . Here i have used ML techniques such as regression, classification, clustering and recommender systems. I have acquired the skills to use different machine learning libraries in Python, mainly Scikit-learn and Scipy, to generate and apply different types of ML algorithms such as decision trees, logistic regression, k-means, KNN, DBSCCAN, SVM and hierarchical clustering.
    • Awarded to FAIZAN ASHRAF
      Gold Badge from IBM for Completing 30 hours Capstone project IBM Oct 2020 Badge link - https://www.youracclaim.com/badges/9fdd5809-6f46-458b-b65f-f00ed50f6a02Its a project on Road accident Analysis for city of Toronto I have applied applied most of my skills I have learned until to predict the different accidents' severityI have created - A full report consisting of all of the following components :1) Introduction where I discuss the business problem .2) Data where I describe the data that I used to solve the… Show more Badge link - https://www.youracclaim.com/badges/9fdd5809-6f46-458b-b65f-f00ed50f6a02Its a project on Road accident Analysis for city of Toronto I have applied applied most of my skills I have learned until to predict the different accidents' severityI have created - A full report consisting of all of the following components :1) Introduction where I discuss the business problem .2) Data where I describe the data that I used to solve the problem and the source of the data.3) Methodology section which represents the main component of the report where I discuss and describe any exploratory data analysis that I did, any inferential statistical testing that I performed, and what machine learnings were used By me .4) Results section where I discuss the results.5) Conclusion section where I conclude the reportJupiter notebook link - https://github.com/faizan-code/IBM_Capstone_project/blob/main/capstone_main.ipynbMy presentation for the project - https://github.com/faizan-code/IBM_Capstone_project/blob/main/reportppt1.pptx Show less
    • Awarded to FAIZAN ASHRAF
      IBM DATA SCIENCE PROFESSIONAL CERTIFICATE IBM Oct 2020 Certificate Link - https://coursera.org/share/86c14847d98346bf50eccad5d316f799Here is My Professional certificate From IBM on completing all the project , quizzes .I started with What is Data Science . Its tools , Methodology , Then I learned python where i learned to properly code for Data science . I am familiar with differentLibraries like skit learn , Numpy , matplotlib , scipy and many techniques such as regression, classification, clustering and recommender systems. And… Show more Certificate Link - https://coursera.org/share/86c14847d98346bf50eccad5d316f799Here is My Professional certificate From IBM on completing all the project , quizzes .I started with What is Data Science . Its tools , Methodology , Then I learned python where i learned to properly code for Data science . I am familiar with differentLibraries like skit learn , Numpy , matplotlib , scipy and many techniques such as regression, classification, clustering and recommender systems. And ML algorithms such as decision trees, logistic regression, k-means, KNN, DBSCCAN, SVM and hierarchical clustering. And at last I completed My last capstone project of 30hr and successfully passed all the assignment quizzes and exams . My last project under this was on Road accident Analysis for city of Toronto I have applied applied most of my skills I have learned until to predict the different accidents' severity Jupiter notebook link - https://lnkd.in/daGGX-xMy presentation for the project - https://lnkd.in/drgiunN #python #ibm #mlearning #scikitlearn #dataanalysis #datascience #deeplearning #ml #ai #programming #datascientist Show less
    • Awarded to FAIZAN ASHRAF
      5 star in Python Programming Hacker rank Jun 2020
    • Awarded to FAIZAN ASHRAF
      5 star in C programming Hacker rank
  • Volunteer Experience

    • Teaching, Team management

      Issued by Bhumi on Dec 2020
      BhumiAssociated with FAIZAN ASHRAF