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Data Analyst with less than a year in predictive modeling and recommendation systems, proficient in
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Enthusiastic Data Science and Al/ML student with experience in predictive models and recommendation systems. Proficient in Python, R, and ML frameworks. Passionate about data-driven problem-solving. Certified in Data Science, Python, and Al/ML.
TKR college of Engineering and Technology
Bachelors Technology
August 1, 2020 – June 30, 2024
AI Variant
Data Science Intern
November 1, 2023 – August 31, 2024
India
Book Recommendation System
February 1, 2024 – May 31, 2024
Objective: Develop a recommendation system to suggest books based on user preferences and historical data. Tools Used: Python, Scikit-learn, Pandas, NumPy, and collaborative filtering algorithms. Business Need: Enhance user engagement and satisfaction by providing personalized book recommendations. Solution: Implemented collaborative filtering and content-based recommendation algorithms to analyze user behavior and preferences. Conclusion: Increased user satisfaction and engagement by delivering relevant book recommendations, boosting user retention and driving sales.
Gold price Forcasting
November 1, 2023 – February 29, 2024
Objective: Predict future gold prices to assist in investment decisions and risk management. Tools Used: Python, Pandas, Scikit-learn, TensorFlow, Matplotlib, and historical price data. Business Need: Accurate forecasting of gold prices to guide strategic investments and minimize financial risks. Solution: Applied time series analysis and machine learning techniques, including ARIMA models and LSTM neural networks, to analyze historical data and forecast future trends. Conclusion: Enhanced the business's ability to make informed investment decisions by providing reliable price forecasts, leading to improved risk management and optimized investment strategies.
Driver Drowsiness Detection with visual behaviour
September 1, 2023 – February 29, 2024
Objective: Develop a system to detect driver drowsiness in real-time to enhance road safety. Tools Used: Python, OpenCV, TensorFlow, Keras, Dlib, and image processing libraries. Business Need: Prevent accidents caused by drowsy driving by implementing an effective monitoring system. Solution: Leveraged computer vision and deep learning techniques, including facial landmark detection and convolutional neural networks (CNNs), to analyze visual cues such as eye movement and facial expressions to detect drowsiness. Conclusion: Improved driver safety by providing an accurate and real-time drowsiness detection system, potentially reducing accident rates and enhancing overall driving safety.
Data Science Certification
ExcelR
June 1, 2026 – Present
Python Certification
SETWIN
June 1, 2026 – Present
Artificial Intelligence and Machine Learning with Hackathon Certification
EducateNXT
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data science and machine learning applications across different domains (recommendation systems, financial forecasting, computer vision for safety). This diversity of projects, including both personal and professional types, indicates a proactive learning attitude and a broad technical curiosity. The certifications in Python, AI/ML, and Data Science further support a commitment to continuous learning. The target role of 'Data Analyst' aligns well with the candidate's demonstrated skills in data manipulation, predictive modeling, and data-driven problem-solving, although the depth of analysis required for a senior role would need further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an understanding of business needs, which are positive indicators for operational fit. The focus on enhancing user engagement, preventing accidents, and assisting investment decisions suggests an ability to connect technical solutions to real-world impact. However, without direct assessment of communication or teamwork, it's difficult to fully gauge soft skills.