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AI Engineer with less than a year in Machine Learning & Data Science
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Aspiring AI/ML Engineer pursuing M.Tech in Artificial Intelligence with hands-on experience in Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Recommendation Systems, SQL Analytics, Product Analytics, Statistics, and Data Science. Skilled in developing end-to-end machine learning solutions using Python, SQL, Scikit-Learn, Tableau, Excel, and modern AI frameworks. Passionate about solving business problems through predictive analytics, automation, and intelligent systems.
Indian Institute of Technology Patna
M.Tech · Artificial Intelligence
August 1, 2023 – June 30, 2027
NBN Sinhgad College of Engineering, Pune
B.E. · Electronics and Telecommunication Engineering
August 1, 2021 – June 30, 2025
Sou Venutai Chavan Polytechnic, Pune
Diploma · Computer Engineering
August 1, 2019 – June 30, 2022
Sinhgad Public School, Sangola
Secondary School Education
June 1, 2019 – May 31, 2019
Leoni Systems Germany
Data Scientist Intern
January 1, 2025 – June 1, 2025
India
Infeanet
Digital Marketing Intern
August 1, 2021 – September 1, 2021
India
AI Driven Immigration Agent
June 1, 2026 – June 1, 2026
Problem: Immigration workflows involve repetitive documentation and compliance verification. Solution: Designed an AI-powered workflow automation system with intelligent validation mechanisms. Impact: Reduced manual effort and demonstrated intelligent immigration workflow processing.
Target SQL Analytics
June 1, 2026 – June 1, 2026
Problem: Extracting actionable insights from multinational business datasets. Solution: Performed SQL analysis, data cleaning, aggregation, and trend discovery across regions. Impact: Generated business intelligence insights across India, Brazil, Germany, and the USA.
Bitcoin Price Prediction using Machine Learning
June 1, 2026 – June 1, 2026
Problem: Forecasting Bitcoin prices using historical cryptocurrency market data. Solution: Developed predictive models using Regression and LSTM with sequential learning techniques. Impact: Achieved Regression Score of 0.999 and R2 Score of 0.997.
Netflix Content Optimization
June 1, 2026 – June 1, 2026
Problem: Improving content engagement and recommendation effectiveness for viewers. Solution: Built predictive and recommendation models using user viewing behavior analytics. Impact: Improved promotional targeting through CTR and retention-focused insights.
LoanTap Loan Default Prediction using Logistic Regression
June 1, 2026 – June 1, 2026
Problem: Identifying high-risk borrowers before loan approval. Solution: Built a Logistic Regression model using Python, Pandas, NumPy, and Scikit-Learn with preprocessing and feature engineering. Impact: Enabled data-driven borrower risk assessment using financial and credit history indicators.
Recognized by renowned Indian scientist Dr. Anil Kakodkar for project excellence
Unknown
June 1, 2026 – Present
Secured 1st Rank in Maharashtra State at the BARC Science Exhibition
BARC
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong academic drive with multiple degrees and an M.Tech from a prestigious institution. Project diversity, ranging from loan default prediction to Bitcoin forecasting and immigration automation, indicates a broad interest in applying AI across different domains. The recognition for project excellence and securing 1st rank in a science exhibition highlights a competitive and achievement-oriented personality. The pursuit of an AI Engineer role aligns well with their educational background and project experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to translate business problems into AI/ML solutions. The internship at Leoni Systems Germany suggests an ability to work with production data and contribute to operational analytics. The digital marketing internship, while not directly technical, shows experience in structured strategy and analytics, which can be transferable to understanding business impact.