Niyati Kalia
@niyatikalia
Data Analyst who builds predictive models and dashboards for actionable business insights.
What I'm looking for
I’m a Data Analyst skilled in Python, SQL, Power BI, and Tableau, and I focus on turning messy data into clear, business-ready decisions. I work across EDA, statistical analysis, regression, hypothesis testing, and A/B testing to validate what matters.
I’ve built predictive models and automated reporting pipelines—using ETL and data pipeline automation to improve reproducibility and delivery speed. In my e-commerce work, I forecast multi-category sales with an XGBoost time-series model and delivered KPI dashboards for real-time revenue monitoring.
From churn prediction to trader behavior analysis, I enjoy connecting analytics to outcomes—like flagging high-risk customers in Power BI and supporting retention campaigns. I’m especially drawn to environments where dashboards, predictive modeling, and governance-driven ETL all work together.
Experience
Work history, roles, and key accomplishments
Data Science Intern
Jumbl
Nov 2024 - Jan 2025 (2 months)
Pre-processed datasets and applied regression and classification models in Python to generate business recommendations. Documented ETL pipelines and model assumptions to support reproducibility and data governance, and delivered results via structured reports.
Data Analytics Intern
CSRBOX
Jun 2024 - Aug 2024 (2 months)
Built Power BI and Excel KPI dashboards and implemented SQL-based ETL with validation to reduce reporting errors by 16% and manual effort by 34%. Produced ad-hoc analyses and stakeholder reports to support cross-functional decision-making.
Freelance Data Analyst
Self-Employed
Delivered analytics solutions including data cleaning, EDA, and KPI dashboards in Power BI/Excel. Automated recurring reporting pipelines with Python to reduce manual effort and improve turnaround time.
Education
Degrees, certifications, and relevant coursework
Krishna Engineering College
Bachelor of Technology, Computer Science Engineering (AI)
Grade: CGPA: 8.96 / 10
Pursuing a B.Tech in Computer Science Engineering (AI) under AKTU. Earned a CGPA of 8.96/10.
Bal Mandir Sr. Secondary School
Higher Secondary Certificate, CBSE (Class XII)
Grade: 88%
Completed CBSE Class XII. Scored 88%.
Bal Mandir Sr. Secondary School
Secondary School Certificate, CBSE (Class X)
Grade: 95%
Completed CBSE Class X. Scored 95%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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