Pushkaraj Joshi

Experience

• 

  Aiesec Navi Mumbai

  Apr 2015 - Nov 2015

  - Key Responsibilities:- Arranged Internships for incoming students.- Talk to prospective students from all over the world and inform them about the different opportunities available in the city of Navi Mumbai.- Managed team specific documentation and tracked it in the custom information tracker.- Undertook surveys and addressed key issues affecting people in the local committee.

  • Team Member

    Feb 2015 - Nov 2015

  • Team Leader Talent and Information Management

    Apr 2015 - Aug 2015
• 

  Tata Consultancy Services

  Jun 2017 - Aug 2017

  TCS Remote Intern

  - Worked on data analysis using python as a programming language.- Created basic visualizations in Matplotlib and seaborn to showcase underlying patterns in data.- Created a basic PowerBI dashboard to show and compare different trends in data.- Created a report on both methods of visualizations and gave a presentation to the manager.

• 

  BYJU'S

  Jun 2018 - Aug 2018

  Business Developement Associate

  Experience in generating sales as well as doing counselling for children.

• 

  Adbizit

  Sept 2018 - Feb 2019

  Machine Learning Specialist

  - Cofounding member.- Managed and achieved the sales target by training existing employees and talking to potential students about the course curriculum. Achieved a 100% of the predetermined sales targets for the first two months.- Created educational content for artificial intelligence and machine learning curriculum.- Delivered training sessions for students from various academic backgrounds. Received a minimum of 90% satisfaction rating from all batches of students.

• 

  EY

  Mar 2019 - Jul 2021

  - Owned multiple technical proof of concepts, from initial requirement gathering to deployment.- Leveraged my communication skills to interpret and represent findings from data to top leadership and to stakeholders from different backgrounds.- Led a team of 3 for creating a Flask app for mining data from regulatory invoices utilizing a guided OCR which provided 80%+ efficiency per client engagement, saving nearly $240K every quarter- Coordinated with a team of 10 to identify anomalous data points, leveraging a mix of clustering algorithms (K-Means and K-Medoids) for helping a retail client streamline operations and earn additional $800K- Developed a Flask app with HTML and Javascript to convert a PDF file into a summarized Excel file, reducing manual efforts by 80% and saving approximately $510K biannually. Utilized Transformers, Naive Bayes model and Markov Chains for end to end document processing and summarizing- Developed a desktop app to perform Natural Language Processing on the Journal Entry text to highlight groupings of words which might indicate a potential risk, with the support of Word2Vec and K-Means. Utilized as a proof of concept for future versions. Show less - As analyst at EY, I was involved in pre-proposal research to final project delivery and learned essential skills in client management, presentations and research. I also received great exposure across a variety of industries.- Worked in a team of 3 for creating a Flask app for mining data from regulatory invoices utilizing a guided OCR which provided 80%+ efficiency per client engagement, saving nearly $240K every quarter.- Designed a analysis that dynamically calculated the penalty and interest that had to be a paid by a major telecom player in India. The analysis allowed the top level management to tweak parameters and see how that impacts the total payout in the long term. Show less

  • Associate Consultant

    Apr 2021 - Jul 2021

  • Analyst

    Mar 2019 - Apr 2021
• 

  Deloitte

  Feb 2023 - now

  Senior Specialist

  Fraud Analytics