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Data Science with less than a year in Machine Learning & Python.
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Assessing your cultural and operational fit
Highly motivated and results-driven individual with a B.E. in Computer Engineering, actively pursuing a career in Data Science. Proficient in Python, C++, Java, and SQL, with hands-on experience in machine learning, multi-threading, and API development. Demonstrated ability to design and implement intelligent systems for real-world applications, including peer-to-peer lending and AI-powered research. Eager to apply strong analytical and problem-solving skills to complex data challenges.
Vidyavradhini's College of Engineering and Technology, Vasai
B.E. · Computer Engineering
August 1, 2022 – June 30, 2026
SM Highschool
Higher Secondary School Certificate Examination
June 1, 2020 – May 31, 2022
New English School
Secondary School Certificate Examination
June 1, 2010 – May 31, 2020
Peer to peer lending Project
June 1, 2026 – Present
Developed a machine learning-based platform that enables secure, data-driven peer-to-peer lending by analyzing borrower profiles, predicting credit risk, and recommending optimal loan matches. Key Features: Borrower risk prediction: Uses machine learning models (e.g., Logistic Regression, Random Forest) to assess borrower creditworthiness.. Loan recommendation system: Suggests optimal loan offerings to users based on risk profile and loan history. User segmentation: Clusters borrowers into risk categories (e.g., low, medium, high) using techniques like K-Means or DBSCAN.
View ProjectAI-Powered Company Research Assistant
June 1, 2026 – Present
Developed an intelligent system for company research that automatically generates comprehensive account plans for sales and business development. Key Features: Natural Language Chat Interface: Interactive chat-based system for intuitive company research that supports voice commands. Multi-Source Research: Aggregates data from 25+ sources with conflict detection and resolution. Automated Account Plans: Generates 9-section account plans including company overview, competitive landscape and engagement strategies.
View ProjectMulti-Threaded Dataset Processor
June 1, 2026 – Present
Developed a high-performance multi-threaded C++ application to process large datasets efficiently by utilizing concurrency and parallel computing techniques. Key Features: Multi-threaded Processing: Implements std::thread to split large datasets into smaller chunks and process them concurrently. Uses std::mutex to prevent race conditions while accessing shared resources. Technologies Used: C++, C++ Multi-threading, std::thread, std::mutex, File I/O (fstream), and CSV Parsing.
Machine Learning Specialization
Stanford University, DeepLearning.AI
June 1, 2026 – Present
Basic SQL Certification
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects show a strong interest in data science and AI, aligning well with a Data Science role. The diversity of projects (lending, research assistant, data processing) indicates a broad technical curiosity. However, the lack of professional experience or team-based project descriptions limits the assessment of cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate demonstrates initiative through academic projects and certifications. The multi-threaded C++ project indicates an understanding of performance optimization, which is valuable. However, without professional experience or psychometric test results, it's difficult to assess work attitude, stress handling, or team collaboration.