SAI LAHARI
@sailahari
I build data pipelines, predictive models, and dashboards that turn raw data into business insights.
What I'm looking for
I'm building churn and customer lifetime value prediction systems at Zaalima Development, leading a five-member team through SQL ingestion, exploratory analysis, feature engineering, model training, FastAPI services, and Docker deployment. I've also built demand forecasting and inventory optimization workflows using Python, SQL, ETL, dbt, and Streamlit.
At Saiket Systems, I created a three-page Power BI churn dashboard for 7,000+ telecom customers and identified high-risk retention segments. My projects span Spotify analytics, sales performance reporting across 54,000+ records, and a real-time facial mood-based recommendation system.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Zaalima Development Pvt. Ltd
Jun 2026 - Present (3 months)
Leading a team of 5 members in developing a churn and LTV prediction system, building an end-to-end pipeline with SQL, Python, and FastAPI, and containerizing the application with Docker. Also built an automated analytics platform for retail demand forecasting and inventory optimization using time-series forecasting and SQL-based ETL.
Education
Degrees, certifications, and relevant coursework
Gayatri Vidya Parishad College for Degree and P.G. Courses (A)
Bachelor of Technology, Computer Science and Engineering
Grade: 7.9/10
Pursued a Bachelor of Technology in Computer Science and Engineering, graduating in 2025 with a CGPA of 7.9/10.
Availability
Location
Authorized to work in
Portfolio
github.com/laharii24Job categories
Skills
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