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Data Science with 1+ years in Data Analytics & Machine Learning
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Data Analyst specializing in Excel, SQL, Power BI, and operational analytics. Delivered dashboards and automated pipelines that cut reporting effort 40%, improved data integrity 70%, and supported HR, Finance, and Operations decision-making across SaaS and enterprise environments.
Coventry University, UK
MSc in Data Science and Computational Intelligence · Data Science and Computational Intelligence
August 1, 2023 – June 30, 2024
NMIMS, Mumbai, India
Diploma in Operations Management · Operations Management
August 1, 2020 – June 30, 2021
Narsee Monjee College, Mumbai, India
BSc in Information Technology · Information Technology
August 1, 2015 – June 30, 2018
Independent Data Analyst & Portfolio Development
Independent Data Analyst & Portfolio Development
January 1, 2024 – Present
India
Spine Technologies
Implementation Engineer
April 1, 2022 – December 1, 2022
Mumbai, Maharashtra, India
Tata Consultancy Services
IT Support Executive
April 1, 2019 – October 1, 2019
Mumbai, Maharashtra, India
Apple Stock Price Forecasting
June 1, 2026 – June 1, 2026
Collected and processed historical Apple stock price data (2015-2020). Built time-series forecasting pipeline using LSTM neural networks. Converted series data into supervised learning format and applied MinMax scaling. Evaluated model performance using RMSE and visual comparison of predicted vs actual prices. Analyzed limitations of short-term price prediction due to market volatility. Demonstrated limitations of short-term forecasting and documented model risks for decision-making.
Credit Card Churn Prediction
June 1, 2026 – June 1, 2026
Cleaned and analyzed 100k+ customer records. Engineered features and performed exploratory statistical analysis. Built and evaluated logistic regression and tree-based models. Identified key drivers contributing to customer churn. Translated model findings into business insights by highlighting top churn drivers and recommending retention-focused features.
Power BI Essential Training
LinkedIn Learning
June 1, 2026 – Present
Getting Started with Microsoft Azure by Microsoft Press
LinkedIn Learning
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including stock price forecasting, churn prediction, and NLP tasks, indicates a broad interest in data science applications. Their experience spans different industries (HR, Finance, Operations) and roles (Implementation Engineer, IT Support Executive), suggesting adaptability. The pursuit of a Master's degree and certifications shows a commitment to professional development, aligning with a culture of continuous learning. The transition from IT support to data analysis roles, coupled with independent project development, highlights initiative and a proactive approach to career growth.
Soft Skills & Operational Fit
The candidate demonstrates a results-oriented approach, evidenced by quantifiable achievements in previous roles (e.g., reducing manual reporting by 40%, cutting data corruption by 70%). Their experience in Agile environments and collaboration with various teams suggests good operational fit and teamwork potential. The independent project work indicates self-motivation and continuous learning.