I am a data-driven analyst with experience in transforming raw data into structured insights that support business and operational decision-making. My work focuses on data validation, KPI tracking, dashboard development, and performance reporting across large-scale datasets.
During my experience at Mu Sigma, I worked on analyzing 100K+ records, building KPI dashboards, and supporting reporting workflows that improved data reliability and visibility into key performance metrics. I have also worked with healthcare-related datasets, applying analytical thinking to track outcomes and generate structured reports.
I am skilled in SQL, Excel, and Power BI, with a strong focus on data accuracy, process optimization, and stakeholder coordination. I enjoy working in fast-paced environments where data can be used to identify trends, highlight gaps, and support informed decision-making.
I am particularly interested in roles that involve data analysis, reporting, and business insights across domains such as operations, healthcare, and financial services.
*Portfolio- https://quant-artistry-kit.lovable.app/#contact

Sakchi Sinha
@sakchisinha
Decision & Analytics Analyst | Life Sciences & Business Intelligence
Experience
Work history, roles, and key accomplishments
Trainee Decision Scientist
Mu Sigma
Aug 2025 - Dec 2025 (4 months)
Built and maintained Power BI dashboards and business reports, analyzing structured and unstructured data across 100K+ records using SQL, Excel, and Python. Conducted trend analysis and root-cause investigation, quantifying a 20% variance between actual and expected performance, and drove the finding through to a reporting automation initiative.
Junior Health Coach
Amura Health
Jun 2025 - Aug 2025 (2 months)
Tracked and analyzed data across 200+ client interactions, maintaining accurate records and resolving discrepancies within service standards.
Education
Degrees, certifications, and relevant coursework
Birla Institute of Technology, Mesra
MSc, Biotechnology
2023 - 2025
Grade: 8.22 CGPA
Pursued an MSc in Biotechnology, achieving a CGPA of 8.22.
Patna Women's College
BSc, Microbiology
2020 - 2023
Grade: 8.80 CGPA
Completed a BSc in Microbiology with a CGPA of 8.80.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
quant-artistry-kit.lovable.appSalary expectations
Social media
Job categories
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