Natural Language to SQL Query Generator
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Summary
Built a system which converts natural language queries to accurate SQL queries via an LLM for relational database.
A highly motivated Senior B.Tech Graduate from IIT Kanpur with a strong foundation in Data Science, Machine Learning, and Analytics. Proven ability to leverage Python, SQL, and R for developing scalable solutions, optimizing data pipelines, and driving impactful insights, as demonstrated by an 80% reduction in storage requirements for a research project and achieving 99.31% model accuracy in ML optimization. Eager to apply technical expertise and product management acumen to innovative roles in the data-driven industry, having supported cloud-based SaaS product launches and defined critical product requirements.
Product Manager Intern
Hyderabad, Telangana, India
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Summary
Led critical phases of development and launch for a cloud-based payroll and HR SaaS product by leveraging market insights and cross-functional teamwork.
Highlights
Conducted in-depth market research and competitive analysis, utilizing Figma and data tools to identify and prioritize high-impact product opportunities.
Authored detailed Product Requirement Documents (PRDs) and collaborated cross-functionally with engineering, UI/UX, and DevOps teams to define product specifications.
Supported the go-to-market strategy and coordinated successful product launches, actively tracking KPIs to drive product adoption and user engagement.
AI/ML Research Intern
MOHUA, Delhi, India
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Summary
Developed a scalable Python pipeline for semantic analysis of large English PDF document sets, enhancing data processing and retrieval efficiency.
Highlights
Developed a scalable Python pipeline incorporating advanced OCR methods for comprehensive parsing of text, images, tables, and QR codes from PDF documents.
Applied cutting-edge NLP models (spaCy, BERT) for entity recognition and semantic similarity, significantly improving document understanding.
Achieved an 80% reduction in storage requirements through Ghostscript compression, thereby enhancing scalability and minimizing storage footprint.
Processed and analyzed over 10,000 documents with high accuracy, improving information retrieval efficiency and accelerating downstream analytics workflows.
Organizer, Events & Competitions
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Summary
Managed and executed various events, competitions, workshops, and performances for Asia's largest technical and entrepreneurial festival, Techkriti'24.
Highlights
Managed over 1000 participants across various events, competitions, and workshops during Techkriti'24, one of Asia's most prominent technical festivals.
Assisted in generating INR 20 lakhs in revenue by efficiently managing the online registration portal for participants.
Organized The National Aeromodelling Workshop in partnership with BOEING, engaging over 150 participants.
Organizer, Events & Competitions
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Summary
Led a team of 30+ undergraduates to ensure smooth conduction of formal and informal events for Asia's largest sports festival, Udghosh'23.
Highlights
Led and mentored a team of 30+ undergraduates, ensuring the seamless execution of formal and informal events.
Managed comprehensive event data and prepared detailed schedules for all competing teams across multiple sports disciplines.
Contributed to an unprecedented increase in reach and participant engagement, drawing 100K+ footfalls from 450+ colleges.
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Bachelor of Technology (B.Tech)
Computer Science & Engineering (inferred)
Grade: 6.1/10 CPI
Courses
Databases & SQL
Machine Learning
Google Data Analytics
Advanced Learning Algorithms
Linear Algebra & Ordinary Differential Equations
Partial Differential Equation
Machine Learning Applications in Financial Markets
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Class XII
Science (MSBSHSE)
Grade: 81.38%
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Class X
General Studies (CBSE)
Grade: 92.8%
Fluent
Python, SQL, R, MATLAB, C, Power BI, Excel, Tableau, AWS (Basics), Git, Figma.
NumPy, Pandas, Matplotlib, Scikit-learn, Seaborn, Tensorflow, PyTorch, SciPy, Data Modeling, Feature Engineering, Time Series Forecasting, Fraud Detection, Natural Language Processing (NLP), Semantic Analysis, Deep Learning, Predictive Modeling, Statistical Analysis, Data Visualization.
Product Requirements, Market Research, Competitor Analysis, Go-to-Market Strategy, KPI Tracking, Product Launch, Cross-functional Collaboration, Agile Methodologies, Stakeholder Management, Team Leadership, Event Management, Prompt Engineering.
Cloud Optimization, Data Pipelines, Data Extraction, OCR.
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Summary
Built a system which converts natural language queries to accurate SQL queries via an LLM for relational database.
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Summary
Derived a mathematical model to break a CAR-PUF using a single linear model with a feature vector dimension of 528.
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Summary
Conducted market research and Porter's 5 Forces analysis for market entry in the financial fraud detection industry.
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Summary
Performed a time series analysis on ABC Firm and nifty index prices, modeling log returns and volatility trends using R.