Tigmanshu Singh
Bangalore
Summary
Results-driven Data Scientist with 1.8+ years of experience in machine learning, ETL pipeline automation, AI agent simulation analytics, behavior clustering, and SQL optimization. Skilled in building data preprocessing pipelines for structured & unstructured data, designing predictive and clustering models, evaluating model performance using Precision, Recall, F1-score, ROC AUC, and collaborating with AI research & engineering teams to translate experimental insights into scalable analytics solutions.
Overview
2
2
years of professional experience
4
4
Certifications
Work History
Product Engineer (Data Science & Reporting)
Data Poem
08.2025 - Current
- Remote Data-Driven Product Analytics - Designed scalable data processing modules for business reporting using Python and SQL. - Developed clustering & trend analytics features for agent simulation and product performance monitoring. - Built KPI dashboards to monitor trends, benchmarks, and behavioral clusters of AI agents. - Partnered with research & product teams to convert experiments into actionable analytics.
Software Engineer (Data & Analytics)
Tech Mahindra
03.2024 - 04.2025
- Remote Data Analytics Delivery - Built automated data validation & preprocessing pipelines in Python, improving throughput by 25% and reducing manual effort by 40%. - Tuned and optimized Teradata SQL queries, reducing retrieval latency by 30% for core banking analytics. - Supported large-scale cloud migration (HDP→CDP) on Azure across 5+ APAC regions, ensuring zero delay delivery of data assets for AI/analytics workloads. - Delivered statistical insights and collaborated cross-functionally to maintain data integrity for performance analytics.
Education
MCA - Data Science, Cloud Computing
Symbiosis International University
01.2023
BCA - Programming, Data Structures
Bangalore University
01.2021
Skills
Python (Pandas, NumPy, Scikit-learn,TensorFlow)
SQL (Teradata, SQL Server)
ETL & Data Pipelines
KMeans Clustering
Dashboards & KPI Monitoring (Power BI, Power BI dashboards)
Model Evaluation Metrics: Precision, Recall, F1, ROC AUC
Statistical Inference, A/B Testing, Causal Analysis
AI Agent Analytics, Simulation Benchmarking
Continuous improvement
Certification
Python for Data Science – Udemy
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Product Engineer (Data Science & Reporting)
Data Poem
08.2025 - Current
Software Engineer (Data & Analytics)
Tech Mahindra
03.2024 - 04.2025
BCA - Programming, Data Structures
Bangalore University
MCA - Data Science, Cloud Computing
Symbiosis International University