Lakshya Jain
@lakshyajain08
I build data dashboards, ETL workflows, and predictive analytics that turn complex datasets into business decisions.
What I'm looking for
I've delivered Power BI dashboards and automated KPI workflows through Microsoft Elevate & AICTE, improving reporting speed by 28% for SLA monitoring and operational analytics.
I built star-schema data models and SQL validation workflows across 15,000+ records, achieving 99% reporting accuracy and strengthening data quality and governance. I also translate business requirements into interactive dashboards and analytical reports for cross-functional teams.
In my current data analysis and computer vision research, I clean and validate large-scale agricultural data, evaluate model performance, and use Python, Pandas, SHAP, and LIME to make analytical outputs understandable and actionable.
My projects span retail, marketing, and financial analytics, including customer segmentation, CLV and cohort models, forecasting, churn analysis, and executive KPI dashboards. I'm completing a Computer Science and Engineering degree while building practical data engineering and business intelligence skills.
Experience
Work history, roles, and key accomplishments
Data Analysis & Computer Vision Research
Microsoft Elevate & AICTE
May 2026 - Present (3 months)
Engineered and processed features for a large-scale agricultural dataset, implementing data cleaning and validation techniques. Analyzed model performance metrics and developed visualizations using SHAP and LIME to interpret algorithmic outputs.
Power BI Data Analytics Intern
Microsoft Elevate & AICTE
Feb 2026 - Mar 2026 (1 month)
Developed Power BI dashboards and automated KPI workflows for SLA monitoring and operational analytics, achieving 28% faster reporting and 99% reporting accuracy. Collaborated with cross-functional teams to translate business requirements into automated dashboards and analytical reports.
Education
Degrees, certifications, and relevant coursework
VIT University
Bachelor of Technology, Computer Science & Engineering
2023 -
Grade: 8.4/10
Pursuing a B.Tech in Computer Science & Engineering with a CGPA of 8.4/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Social media
Job categories
Skills
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