Tushar (Sunkra) R.
Research Assistant/Master Thesis
Experience
Jul 2023 - Jul 2025
2 years 1 monthResearch Assistant/Master Thesis
Otto von Guericke University Magdeburg
- Performed qualitative and quantitative analysis of extracted findings, categorizing themes, evaluating methodologies, and assessing study quality and reliability.
- Produced research reports and evidence summaries communicating key trends, gaps, and opportunities to academic advisors and cross-functional teams.
- Presented findings through well-structured visualizations, tables, and narrative summaries to support decision-making and guide future research directions.
Sep 2018 - Aug 2019
1 yearData Scientist
Accenture
- Built automated ETL pipelines (Python, PySpark, Databricks) aggregating CRM, finance, and product datasets; reduced manual consolidation time by 60% and enabled hourly refreshes for analytics teams.
- Developed ML models (XGBoost, Random Forest, CNN-based pipelines) for forecasting and customer value prediction, improving MAPE by 18% and helping commercial teams optimize pricing and retention strategies.
- Designed an end-to-end A/B test evaluation framework (SQL, Python, SciPy), standardizing significance testing, uplift analysis, and confidence intervals; cut experiment evaluation time by 40%.
- Delivered executive dashboards in Power BI and Metabase surfacing KPIs and model outputs; supported weekly leadership decisions and improved reporting efficiency by 75%.
- Partnered with engineering teams to implement data quality monitoring (missingness, anomaly checks) and version-controlled schemas, reducing pipeline failures by approximately 70%.
Jul 2017 - Aug 2018
1 year 2 monthsAssociate Software Engineer
Accenture
- Automated high-impact analytics workflows using SQL, Python, and Excel macros, reducing manual reporting time by approximately 60%.
- Enhanced data warehouse schemas and documentation, enabling reproducibility and improving downstream analytics accuracy.
- Supported deployment of predictive models into service-oriented architecture (REST endpoints); contributed to testing, monitoring, and debugging of model behavior.
- Produced narrative insights summarizing customer funnel drop-offs and process inefficiencies, helping product teams prioritize fixes that improved conversion.
Apr 2016 - Sep 2016
6 monthsData Analyst Intern
Tata Technologies
- Performed cohort analysis, funnel diagnostics, and conversion analytics to support product decisions.
- Identified UX bottlenecks and irregular trends, enabling business teams to take corrective action quickly.
- Created actionable summaries and visual briefs for managers, strengthening alignment between engineering and product teams.
Summary
Data Scientist with 4+ years of experience building machine learning models, designing scalable data pipelines, and delivering production-grade analytics solutions across telecom, digital products, and enterprise systems. Strong expertise in Python, PyTorch/TensorFlow, SQL, and cloud-based ML workflows.
Skilled at translating business problems into deployable models—classification, forecasting, NLP, and experimentation. Adept at collaborating with engineering and product teams to productionize ML systems and deliver measurable business impact.
Languages
Hindi
NativeTelugu
NativeEnglish
AdvancedGerman
IntermediateEducation
Otto von Guericke University Magdeburg
M.S. in Data Science · Data Science · Magdeburg, Germany
Gandhi Institute of Technology and Management
B.S. in Computer Science · Computer Science · India
Certifications & licenses
Google Data Analytics Professional Certificate
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