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Data Science with 1+ years in Machine Learning & Data Analytics
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dedicated to using my abilities meaningfully while gaining new insights and growing professionally. I aim to contribute to valuable work and keep learning along the way.
Finolex Academy of Management and Technology
B.Tech - Computer Science (AI & ML) · Computer Science (AI & ML)
August 1, 2022 – June 30, 2026
Abhyankar Kulkarni Junior College
HSC (Class XII)
June 1, 2020 – May 31, 2021
Makhajan English School
SSC (Class X)
June 1, 2018 – May 31, 2019
Gadre Infotech Pvt. Ltd.
ML Engineer Intern
February 1, 2026 – April 1, 2026
India
EVOASTRA Ventures Pvt. Ltd.
Data Scientist Intern
February 1, 2026 – March 1, 2026
India
IBM – Decoding Data Program
Data Analytics Intern
July 1, 2025 – June 1, 2026
India
iBase Electrosoft LLP
Python Developer Intern
June 1, 2025 – July 1, 2025
India
Supply Chain Risk Predictor
June 1, 2026 – Present
Classified delivery risk levels using ensemble ML models; applied EDA, feature importance analysis, and model comparison to achieve ~76% accuracy. Used feature importance and SHAP-style analysis to surface explainable insights - directly relevant to model transparency requirements in BFSI.
Sales Forecasting API
June 1, 2026 – Present
Built a production-style forecasting pipeline with a Flask API wrapper, supporting both real-time and batch inference patterns aligned with MLOps practices. Benchmarked Prophet against classical statistical models (ARIMA, SARIMA) to validate model selection rigorously.
Customer Shopping Behaviour Dashboard
June 1, 2026 – Present
Designed an analytics dashboard studying customer purchase patterns, spending trends, and segmentation directly applicable to BFSI customer analytics. Combined SQL extraction, Python preprocessing, and Power BI interactive visualizations to deliver actionable KPIs.
Text Summarization Web App
June 1, 2026 – Present
Built an NLP web app generating extractive summaries from text, PDF, and DOCX inputs using tokenization, stop-word removal, and sentence ranking. Demonstrates NLP pipeline development skills applicable to document AI, loan document processing, and LLM-augmented workflows.
Machine Learning Onramp – MATLAB
MATLAB
June 1, 2026 – Present
SQL
HackerRank
June 1, 2026 – Present
Data Analytics and Visualisation job Simulation
Forage
June 1, 2026 – Present
Introduction to applied Data Science with Python
simplilearn
June 1, 2026 – Present
Reinforcement Learning Onramp – MATLAB
MATLAB
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest in applying data science to real-world problems, including supply chain risk prediction and sales forecasting, which aligns well with practical, impact-driven environments. The mention of 'model transparency requirements in BFSI' and 'explainability needs in regulated industries' suggests an understanding of industry-specific constraints and a proactive approach to compliance, which is a positive cultural fit for structured organizations. The diversity of projects and internships indicates adaptability and a willingness to learn across different domains.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to work on diverse problems and a focus on delivering actionable insights, which suggests a problem-solving mindset. The emphasis on explainable AI and rigorous model validation indicates a detail-oriented approach. However, without direct assessment data, specific soft skills like teamwork, stress handling, or communication clarity in a live setting cannot be fully evaluated.