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Bikash Sahu

@bikashsahu

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Data scientist-focused analyst delivering actionable insights and models.

India

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What I'm looking for

I seek a data role where I can build predictive models, create actionable dashboards, and grow technical skills in machine learning within a collaborative, impact-driven team.

I am a data-focused analyst and aspiring data scientist who transforms raw datasets into actionable insights and predictive models. I have engineered accurate machine learning solutions—using Random Forest and XGBoost—to improve fare prediction performance, revamped preprocessing pipelines to reduce errors, and built interactive dashboards in Power BI and Google Sheets that guide stakeholder decisions.

I combine strong data-wrangling skills in Python (pandas, NumPy) and SQL with visualization and deployment experience, having analyzed large retail and ride datasets, improved reporting speed, and enhanced model accuracy via NLP and advanced algorithms. I adapt quickly to new tools and prioritize data accuracy, clear storytelling, and measurable business impact.

Experience

Work history, roles, and key accomplishments

Data Analyst

Self Employed

Analyzed 10,000+ retail rows and performed EDA on 500,000+ records to uncover purchase patterns, boosting reporting speed by 30% and data accuracy by 10%. Delivered interactive dashboards and improved sentiment analysis precision by 15% using NLP techniques.

Python Pandas SQL Power BI Excel NLP Data Visualization EDA Dashboarding

Data Scientist

Self Employed

Engineered a cab fare prediction model on 55,000+ rides improving accuracy by 20% and reduced prediction errors 15% through enhanced preprocessing and ensemble models. Built Power BI dashboards and visualizations to surface pricing drivers and support stakeholder decisions.

Python Pandas NumPy scikit learn XGBoost Random Forest Power BI Data Cleaning EDA

Education

Degrees, certifications, and relevant coursework

Centurion University of Technology and Management

Bachelor of Technology, Computer Science and Engineering

2021 -

Grade: 7.8 GPA

Pursuing a Bachelor of Technology in Computer Science and Engineering with a cumulative GPA of 7.8, covering topics in programming, data analysis, and machine learning.