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Data Science with 1+ years in AI/ML, Data Analysis & Production Support
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Assessing your cultural and operational fit
AI & ML graduate with experience in Product Operations, production support, and bug resolution. Skilled in Python, SQL, Excel, Power BI, RCA, and data analysis with hands-on exposure to testing across Android, iOS, and Web platforms. Experienced in collaborating with Product and Engineering teams to improve customer experience and drive process efficiency.
BKIT Bhalki,VTU
B.E · Artificial Intelligence and Machine Learning
August 1, 2020 – June 30, 2024
Shree GuruNagalingeshwara PU college
Class 12
June 1, 2018 – May 31, 2020
Gnyan Ganga High School Chitaguppa
Class 10
June 1, 2018 – May 31, 2018
Flipkart
Product Operations Analyst
August 1, 2025 – Present
Bengaluru, Karnataka, India
AI Variant
Data Science Intern
October 1, 2024 – July 1, 2025
Bengaluru, Karnataka, India
Diabetic Retinopathy Prediction
June 1, 2026 – Present
Built a binary classification model to predict diabetic retinopathy using health indicators like blood pressure, cholesterol, and age from a dataset of 6000 patients. Deployed the model using Streamlit for interactive real-time predictions and easy accessibility.
Stock Market Analysis
June 1, 2026 – Present
Developed time series models (ARIMA, SARIMA, XGBoost) to predict Apple's stock prices 30 days ahead. Built a Streamlit dashboard for interactive forecasting using historical data (2012–2019). Tools: Python, Pandas, Streamlit, Matplotlib.
Career Essentials in Data Analysis
Microsoft and LinkedIn
June 1, 2026 – Present
Google Analytics Certification
June 1, 2026 – Present
Python programming, MYSQL, C Programming
Great Learning
June 1, 2026 – Present
Dataplus Overview Course Certificate
TCS MasterCraft
June 1, 2026 – Present
Data Science Certification
Excelr
June 1, 2026 – Present
Databases for Developers Foundations
Oracle
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship align well with a Data Science role, showcasing initiative in applying ML techniques. The current role as a Product Operations Analyst at Flipkart, while not directly a data science role, involves data analysis (SQL, Excel, Power BI) and cross-functional collaboration, indicating adaptability and a broader skill set. The diversity of certifications also suggests a proactive learning attitude. However, the transition from Product Operations to a dedicated Data Science role would require demonstrating deeper practical application of advanced ML concepts beyond academic projects.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, communication, teamwork, and attention to detail through project descriptions and experience in product operations. The role at Flipkart indicates experience in production support, troubleshooting, root cause analysis, and collaboration with product/engineering teams, which are valuable operational skills. However, the communication quality in the resume itself could be improved for better clarity and impact.