Sneha Lakal
@snehalakal
Data Analyst skilled in Python, SQL, ML, and dashboards—turning data into actionable business insights.
What I'm looking for
I’m a results-driven Data Analyst with hands-on experience from a Google internship and academic projects at IIT Guwahati. I focus on transforming raw datasets into actionable insights that support strategic decision-making.
I work end-to-end: performing exploratory data analysis, data cleaning and wrangling, and building predictive models. I’ve leveraged BigQuery, SQL, Python, and machine learning to uncover trends, run A/B test analysis, and improve key product metrics—like a 12% CTR lift and faster reporting through optimized queries.
I also prioritize clear communication through interactive dashboards and data storytelling. I’ve built KPI dashboards in Looker Studio/Tableau/Power BI, automated reporting pipelines, and delivered findings to senior management and stakeholders so teams can act quickly in fast-paced, collaborative environments.
Experience
Work history, roles, and key accomplishments
Data Analyst
Unified Mentor
Performed exploratory data analysis (EDA) to uncover trends and correlations, and cleaned and preprocessed datasets using Python to ensure data integrity. Built Tableau dashboards and contributed to predictive modeling with Scikit-learn, reaching 85%+ accuracy while optimizing data pipelines to reduce processing time by 30%.
Analyzed large-scale user behavior datasets in BigQuery and Python to identify engagement trends across Google Search and Ads, supporting cross-functional KPIs for 20+ stakeholders. Built Looker Studio dashboards, ran A/B test analysis that improved click-through rates by 12%, and optimized SQL queries to cut report generation time by 35%.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Guwahati
Bachelor of Technology (B.Tech), Data Science & Artificial Intelligence
2021 - 2025
Grade: CGPA 8.4/10
Pursued a B.Tech in Data Science & Artificial Intelligence at IIT Guwahati, graduating with a CGPA of 8.4/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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