Sanket Bacchuwar

About Sanket Bacchuwar

Experienced and driven Data Scientist with a passion for harnessing the transformative potential of data science and machine learning to drive strategic decision-making. Proficient in Python, SQL, and R, my expertise lies in NLP and data engineering. Throughout my career, spanning over 4 years, I have consistently optimized operations, automated processes, and delivered actionable insights that have led to tangible business outcomes.My journey in data science has encompassed diverse industries, from mining to FinTech, where I have successfully applied data science for the optimization of operations. In the mining sector, I excelled as a Data Science Analyst II at Freeport-McMoRan, developing a production recommendation engine in Python that significantly improved throughput and metal recovery in mineral processing, leading to substantial cost savings. Transitioning to the fast-paced FinTech industry, I thrived as a Data Analytics Lead - Operations at Upgrade, Inc, where I harnessed NLP techniques to analyze customer perception from Trust Pilot product reviews. Through the strategic integration of external vendor data into Redshift, I empowered data-driven decision-making for the operations center.Driven by a commitment to innovation and data-driven strategies, I am eager to explore new opportunities and collaborate on cutting-edge projects that unlock the true potential of data. Let\'s connect and embark on a data-driven journey together to achieve unprecedented success.

Experience

1. Data Analytics Lead - Operations

   Upgrade, Inc.

   Jul 2022 — Present

   Performed NLP based customer perception analysis by web scraping Trust Pilot product reviews, utilizing BERTopic for topic modeling, VADER for Sentiment Analysis, driving actionable product recommendations Designed and built scalable data pipeline using JIRA API, Python, and SQL to extract JIRA ticketing metadata and store it Redshift for Tableau reporting, enabling data-driven decision-making Collaborated with cross-functional teams to create data engineering pipelines, integrating external vendor data into Redshift, effectively meeting operations center\'s data needs Utilized statistical models such as ARIMA and exponential smoothing for capacity planning and forecasting future needs resulting in increased operational efficiency and cost savings Developed Contact Center Scorecard System, improved data insights for employees, and achieved a 70% increase in speed while enhancing accuracy by 20% through process automation Optimized KPIs for call center employees\' performance with advanced SQL queries featuring CTEs and Window Functions, resulting in valuable insights and operational improvements. Collaborated with the business analysts to create Tableau dashboards for the scorecards, enabling easy tracking of employee performance Led data analyst team to create real-time contact center Key Performance Indicator (KPI) dashboards on external BI platform, boosting productivity and motivation with office TV display, demonstrating strong leadership.

Education

• University of Utah

  Master of Science - MS, Metallurgical Engineering

  2016 — 2018

• Indian Institute of Technology (Indian School of Mines), Dhanbad

  Bachelor of Technology - BTech, Mineral Engineering

  2012 — 2016

Skills

• Design of Experiments
• Minerals
• Microsoft Excel
• Minitab
• Concrete
• Project Management
• Mineral Processing
• Management
• Materials Science
• Project Planning
• Metallurgy
• Root Cause Analysis
• X-Ray Crystallography
• Autocad
• C++
• Leadership
• Statistical Data Analysis
• Matlab
• Teamwork
• Hydrometallurgy
• Digital Image Processing
• Fly Ash
• Process Optimization
• Public Speaking
• Computed Tomography
• Research
• Microsoft Office
• Mining