Chelsi Singhal
@chelsisinghal
Data analyst with Power BI, SQL, and Python expertise delivering actionable business insights.
What I'm looking for
I am a data analyst with hands-on experience building dashboards, automating data pipelines, and producing models that drive operational improvements. I blend strong technical skills in Power BI, SQL and Python with a rigorous engineering background from IIT (BHU).
In internships, I designed KPI dashboards using DAX and Power Query, automated SQL+Excel pipelines for 100K+ rows, and collaborated across teams to identify inefficiencies that improved workflows by 20%.
My projects include an employee attrition prediction model using Random Forest, an integrated employee-data Power BI dashboard with optimized DAX and SQL, and crypto market analysis with end-to-end data pipelines and visualizations.
I am analytical, detail-oriented, and focused on translating complex data into clear, actionable recommendations to support decision-making and continuous improvement.
Experience
Work history, roles, and key accomplishments
Strategic Analytical Trainee
Self Employed
Jul 2024 - Jun 2025 (11 months)
Undertook strategic analytical training for UPSC Civil Services, strengthening analytical reasoning, data interpretation, and structured report writing over a one-year program.
Data Analyst Intern
U.K. Stones Builders
May 2024 - Jul 2024 (2 months)
Designed KPI dashboards in Power BI and automated SQL+Excel data pipelines for 100K+ rows, improving data reliability and enabling real-time operational monitoring that enhanced workflow efficiency by 20%.
Research Intern
U.K. Stonemanson
May 2023 - Jul 2023 (2 months)
Conducted market research and data analysis on construction sector trends and created structured reports and dashboards, improving reporting efficiency by 15% through Excel automation.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology (BHU), Varanasi
Bachelor of Technology, Mining Engineering
2020 - 2024
Grade: CGPA: 8.76 / 10
Completed a Bachelor of Technology in Mining Engineering with coursework in Data Analytics, Machine Learning, Database Systems, and Statistics; graduated with a CGPA of 8.76/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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