Data Science and Machine Learning Senior Associate with 1+ years in Python, Power BI & Predictive Mo
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Graduate of computer science with hands-on experience in Data Science, Machine Learning, and data-driven problem solving through internships and real-world projects. Proficient in Python, SQL, PowerBI, and cloud technologies, with a strong ability to build predictive models, automate processes, and deliver impactful business insights. Passionate about leveraging technology and data to solve complex challenges while continuously learning and adapting to new tools and domains.
APJ Abdul Kalam Technological University
B.Tech · Computer Science and Engineering
August 1, 2021 – June 30, 2024
State Board Of Technical Education
Diploma · Computer Hardware Engineering
August 1, 2019 – June 30, 2021
Learnbay
Data Science & Machine Learning Intern
October 1, 2024 – September 1, 2025
India
Coupon Recommendation System Using ML
June 1, 2026 – Present
Developed a web app to predict coupon acceptance using a machine learning model in real driving scenarios using demographic, behavioral, and contextual data. Implemented an end-to-end machine learning pipeline using ColumnTransformer and a random forest model (80-20 split), achieving precision 93% and a 0.95 ROC AUC score.
Customer Shopping Behavior Analysis(E-commerce Domain)
June 1, 2026 – Present
Performed a full cycle data analysis using SQL, Python, Power BI on retail transactions to uncover trends in customer spending, product preferences, and subscription behavior. Built interactive KPI dashboards that highlighted revenue insights, loyalty segments, and marketing opportunities for strategic decision-making.
Stroke Prediction Using ML
June 1, 2026 – Present
Built a website for patients, doctors, and admin where the patients could predict stroke and also book appointments. Achieved 96% accuracy. Random Forest Algorithm was used to predict the stroke using questionnaire responses.
Microsoft Azure Data Fundamentals (DP-900)
Microsoft
June 1, 2026 – Present
Data Science and AI
IBM
June 1, 2026 – Present
Project Management
Learntube
June 1, 2026 – Present
Data Analytics Virtual Internship
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying data science and machine learning concepts. The diversity of projects (e-commerce, coupon recommendation, stroke prediction) shows a broad interest in different domains. The certifications (Microsoft Azure, IBM Data Science and AI, Deloitte Data Analytics) indicate a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The internship experience further solidifies their practical application of skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to collaborate (internship description) and translate business needs into data insights. The academic projects suggest problem-solving skills and an interest in applying ML to real-world scenarios. However, without specific psychometric test results, a detailed assessment of logical reasoning, stress handling, and team collaboration is not possible.