Ashish Riwal

Experience

• 

  Cargill

  Aug 2021 - Sept 2023

  Management Information System Executive

  • Automated and maintained 10+ monthly reports using Advanced Excel, reducing manual effort by 30%. • Managed and validated real-time data repositories for raw materials and finished goods, ensuring 100% accuracy in compliance documentation. • Collaborated with cross-functional teams to collect data, resolve discrepancies, and generate trend analysis reports for process improvements. • Developed interactive dashboards in Power BI to track KPIs, enabling faster decision-making for stakeholders. • Acted as the point of contact for data escalations, performing root cause analysis to resolve issues. Show less

• 

  Oasis Infobyte

  Mar 2024 - Apr 2024

  Data Scientist

  During my internship at Oasis Infobyte as a Data Scientist. Among the tasks I completed were: 'Iris Flower Class Prediction using various Classification Algorithms like Logistic Regression, LDA etc.'; 'Car Price Prediction using Predictive Analysis by predictive models like Multiple Linear Regression'; and 'E-Mail Spam Classification, classifying emails into Ham and Spam categories by the use of various NLP techniques'. My one-month experience has helped me become more adept at using data for a variety of purposes. Show less

• 

  EISystems Technologies

  Jun 2024 - Jul 2024

  Machine Learning Intern

  During my 60-day internship, I focused on enhancing my Python programming skills, particularly in areas crucial for data science and analytics. I began by mastering foundational concepts such as data types, control flow, and functions, and progressed to advanced data structures including lists, dictionaries, and sets. I also gained a solid understanding of object-oriented programming (OOP) and data analysis using libraries like NumPy and Pandas, along with data visualization techniques through Matplotlib.A key project during my internship was the development of a spam email detection model. I trained the model using the TfidfVectorizer for feature extraction and a Naive Bayes classifier for prediction. The model was rigorously tested and refined to ensure accurate detection of spam emails. This project allowed me to apply theoretical knowledge in a practical setting, reinforcing my understanding of machine learning and model evaluation.This internship has significantly bolstered my Python and data science skills, preparing me for future challenges in the field. Show less

• 

  Mentorness

  Jun 2024 - Aug 2024

  Data Analyst Internship at MENTORNESS, spanning from June 9, 2024, to July 8, 2024. This experience has been invaluable in enhancing my analytical skills and professional growth.My tasks included:Reel Creation: How to Create a Database - Produced an educational reel to explain the fundamental process of creating a database, aimed at helping beginners understand and implement database management principles.Hotel Reservation Data Analysis Using MySQL - Performed detailed analysis on hotel reservation data using MySQL to derive actionable insights, identify trends, and support data-driven decision-making.Songs Data Analysis of the T-Series Channel Using Power BI - Conducted comprehensive analysis of the T-Series YouTube channel’s songs data using Power BI, providing visual insights into audience engagement, performance metrics, and trends for better content strategy. Show less

  • Machine Learning Intern

    Jul 2024 - Aug 2024

  • Data Analyst

    Jun 2024 - Jul 2024