Rahul
Kanpur, Kanpur Division, Uttar Pradesh, India
Experience: 3 years
Open to: Part-Time
Education: Bachelors
Availability: Immediate
Skills: C, CPP, Django, Docker, Git, Go, Jupyter Notebooks, LLMs/ChatGPT, Matplotlib, NumPy, pandas, Power BI, Problem Solving, Python, Python3, PyTorch, R, React, scikit-learn, STL, Tableau
Previously worked at: India-based Companies
Assessment Score: 100
- Academic Background and Achievements
Final-year undergraduate student at the Indian Institute of Technology (IIT) Kanpur, majoring in Electrical Engineering with a minor in Computer Science and Engineering (Machine Learning). Achieved a CPI of 7.7/10 and received prestigious academic accolades, including ranking in the Joint Entrance Examination (Advanced) and a donor scholarship. - Internship and Work Experience
Gained practical experience through internships at National Payments Corporation of India (NPCI), working on a voice authentication system for speaker verification, and at Finlatics as a Business Analyst Intern, where he honed skills in data-driven decision-making and using tools like Power BI and Tableau. - Machine Learning and Data Analysis Projects
Completed notable projects such as stock price prediction using LSTM-based neural networks, open-pit blasting pollution analysis through time series data, and mathematical trading strategies using technical indicators and stock market metrics. - Technical Skills and Expertise
Skilled in a variety of programming languages including C, C++, Python, JavaScript, and Go. Proficient in machine learning libraries (Scikit-learn, TensorFlow), data visualization tools (Power BI, Tableau), and web technologies (HTML, CSS, Node.js). Knowledgeable in tools for data analysis, such as MATLAB, Git, and SQL. - Leadership and Extracurricular Involvement
Demonstrated leadership abilities by organizing and managing business events for IIT Kanpur’s Techkriti festival, coordinating over 50 teams for competitions, and actively participating in various sports and finance-related competitions at the institute. - Self-Driven Projects and Innovation
Led several self-initiated projects, including the development of a Discord chatbot using Go, a CAPTCHA recognition system with OpenCV, and customer segmentation for Starbucks using K-means clustering and PCA. These projects showcase his initiative and problem-solving skills in data science and software development.