MSManish Sharma
@manishsharma15
Data analyst specializing in analytics, BI, and ML to deliver actionable business insights.
IndiaWhat I'm looking for
I am a motivated, detail-oriented data professional with a strong passion for analyzing information and solving problems to support business decisions.
I have built and automated dashboards, ETL pipelines, and predictive models across multiple industries, improving reporting efficiency and forecasting accuracy.
My projects include house price prediction, NLP-based job recommendation systems, customer segmentation, and large-scale sales dashboards, demonstrating hands-on skills in Python, SQL, Power BI, and ML.
I seek opportunities to take ownership, collaborate cross-functionally, and grow through continuous learning while delivering accurate, impactful outcomes for the organization.
Experience
Work history, roles, and key accomplishments
Data Analyst
Konexions Backoffice Private Limited
Oct 2025 - Present (3 months)
Designed and automated Power BI dashboards and SQL/Python pipelines for Airtel FMS KPIs, improving reporting efficiency and accuracy and enabling data-driven decisions across product, finance, and operations.
Data Analyst
QlikIO
Jun 2025 - Sep 2025 (3 months)
Built Apache Superset reports and optimized SQL Server queries over 2M+ records, implemented predictive models (Regression, Random Forest, XGBoost) achieving ~85% accuracy and automated ETL workflows to reduce reporting time by 40%.
Data Science Intern
Oasis Infobyte
Jul 2024 - Dec 2024 (5 months)
Preprocessed and validated 1M+ row datasets, conducted statistical and A/B testing, engineered features and supported ML pipelines, improving model prediction accuracy by 15% and created interactive Power BI dashboards.
Education
Degrees, certifications, and relevant coursework
UJUniversity of Engineering and Management, Jaipur
Bachelor of Technology, Computer Science & Engineering
2021 - 2025
Grade: CGPA: 8.5
Activities and societies: Rank Holder Certificate for academic excellence
Completed a B.Tech in Computer Science & Engineering with a CGPA of 8.5, focusing on software, data analysis, and machine learning coursework.
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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