Data Science

ANSUMAN PATNAIK RESUME

· RÉSUMÉ

ANSUMAN PATNAIK

JERSEY CITY, NJ, USA, 07306

+1-551-***-**** *********@*****.*** https://github.com/Ansuman21 https://www.linkedin.com/in/ansumanpatnaik/

OBJECTIVE

Willing to secure Data Scientist role, leveraging 2+ years of experience in predictive modeling, machine learning, and data visualization. Supported by an MS in Data Science & Analytics with a strong portfolio of end-to-end data science projects. SKILLS

- Python - SQL - NLP - Power BI - Tableau - MongoDB - Snowflake

- AWS (Glue, Quicksight, RDS, Athena, Kinesis) - AZURE - GitHub - PostgreSQL

- Time-Series forecasting - Scikit-learn - TensorFlow - FastAPI - Data Engineering EXPERIENCE

Business Research Analyst Extern May 2024 – Aug 2024 Hewlett Packard Tech-Venture New York

• Developed and validated predictive models using Linear Regression and Gradient Boosting techniques to forecast startup performance, reducing Mean Squared Error by 12%, which enhanced decision-making accuracy for investment evaluations.

• Implemented time-series forecasting using ARIMA & SARIMAX models to analyze funding trends, uncovering a 20% growth trajectory in AI sectors, helping stakeholders identify high-value investment opportunities for 10 years.

• Designed and launched interactive Tableau dashboards to visualize startup KPIs, improving stakeholder engagement by providing clear, real-time insights into portfolio performance.

• Streamlined data acquisition processes by automating data pipelines, reducing manual data handling time, and ensuring high accuracy in analysis.

• Collaborated with stakeholders to align analytical outputs with strategic goals, enabling more precise alignment between business objectives and investment strategies.

• Authored operational guidelines and SOPs to standardize analytics workflows, improving team efficiency and consistency by 20%. Marketing Analyst Jan 2022 – Jun 2023

Prism Johnson India Ltd. Chandigarh

• Built predictive models for customer behaviour analysis, utilizing clustering and regression techniques to enhance campaign targeting, increasing marketing ROI by 25%.

• Deployed Power BI dashboards to track sales metrics and customer trends, enabling the leadership team to make data-driven decisions, resulting in a 35% improvement in sales strategy effectiveness.

• Automated sales reporting systems using Python and SQL, eliminating manual errors and reducing turnaround time for actionable insights.

• Conducted advanced market segmentation analysis, leveraging clustering algorithms to identify high-value customer groups, leading to a increase in revenue from targeted campaigns.

• Pre-processed and validated datasets, ensuring data accuracy and consistency, which formed the foundation for reliable analysis across departments.

• Built NLP models to analyze customer feedback, uncovering pain points that informed product development and reduced churn rates by 10%.

Technical System Engineer Oct 2019 – Sep 2020

Hewlett Packard Inc. Bangalore

• Engineered scalable data pipelines in Python, optimizing data ingestion processes by 20%, which significantly improved the speed and efficiency of data analytics workflows.

• Developed machine learning models to predict system performance metrics, reducing downtime by 15% and ensuring consistent operational reliability.

• Automated deployment workflows through CI/CD pipelines, cutting development cycles, allowing faster implementation of data- driven solutions.

• Performed exploratory data analysis (EDA) on system performance data, identifying trends and anomalies that led to proactive system enhancements.

• Created comprehensive documentation and training materials to onboard new team members efficiently, reducing ramp-up time.

• Collaborated with cross-functional teams to implement machine learning solutions in production environments, achieving a 99% uptime for critical systems.

EDUCATION

MS, Data Science & Analytics, Yeshiva University, New York Dec 2024

• Relevant Coursework: Structured Data Management, Computational Math’s & Statistics, Information Architecture, Data Science, Visual Design & Storytelling, Project Management, Business Intelligence

• Relevant Certifications: Microsoft Certified – PowerBI Data Analyst Associate Deeplearning.AI Certified Deep Learning Specialization (By Andrew Ng) AWS Certified Cloud Practitioner PGP in Data Science (Deep Learning) Professional Program for Artificial Intelligence Cybersecurity Essentials MBA, Marketing, Alliance University, Bangalore Jun 2022 B.Tech, Computer Science & IT, Siksha ‘O’ Anusandhan University, Bhubaneswar May 2019

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