Ajanth Kulkarni
@ajanthkulkarni
I build data pipelines, dashboards, and machine learning forecasting models.
What I'm looking for
I've built Python data projects at Oasis Infotech and Decode Lab, cleaning datasets, performing EDA, writing SQL queries, and delivering Power BI dashboards for stakeholder reporting. At Oasis Infotech, I developed machine learning models and a fraud detection pipeline across 284,000+ transactions using SMOTE.
For Stocktrend AI, I built an XGBoost forecasting pipeline over 100,000+ market records and deployed real-time predictions through Streamlit. I also created a Netflix dashboard covering 8,800+ titles across 50+ countries, automating ETL workflows with Python and SQL to reduce processing time by 25%.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Oasis Infotech
Jul 2026 - Aug 2026 (1 month)
Built 9 Python projects and cleaned 20,000+ data records from retail, Amazon, and GooglePlay Store using Pandas and NumPy. Developed 6 ML models with 98% accuracy and built a fraud detection pipeline on 284,000+ transactions using SMOTE technique.
Education
Degrees, certifications, and relevant coursework
Siddhartha Institute of Engineering and Technology
Bachelor of Technology, Computer Science
Grade: 8.5 CGPA
Pursuing a degree in Computer Science with a CGPA of 8.5.
Chaitanya Junior College
Intermediate, Intermediate
Grade: 93.7%
Completed XII (IPE) with 93.7%.
Availability
Location
Authorized to work in
Job categories
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