Data Scientist Machine Learning

RAVI MAHESH SHARMA

**************@*****.*** LINKEDIN PRINCIPAL ASSOCIATE DATA SCIENTIST +1-623-***-**** PROFILE

Visionary Data Scientist with over 8 years of experience in predictive modeling, data mining, and cross-functional team leadership. Excelling in developing and deploying adaptive solutions to meet organizational demands in a fast-paced environment. Possessing a proven ability to deliver substantial results and translating functional requirements into tangible deliverables, with documented expertise in Data Analytics, Machine Learning, Experiment Design, and Hypothesis Testing. Backed by a track record of driving key business decisions through effective presentations to senior stakeholders. Recognized for expertise in Python software development and regulatory documentation, having successfully improved performance scores and developed dashboards for real-time application tracking. Boasting extensive experience in market data analysis, machine learning algorithm implementation, and designing Rest APIs for inventory management systems. EDUCATION & CERTIFICATIONS

Arizona State University - Master of Science, Business Analytics 2021 — 2022 University of Mumbai – Bachelor of Engineering, Information Technology 2012 — 2016 Certs: Introduction to Probability with R, Inferential Statistics, Machine Learning Fundamentals SKILLS

Technical Skills: : Python, R, Machine Learning, Statistics, Scikit-learn, NumPy, Pandas, TensorFlow, Keras, ETL, Data Ingestion, Database, SQL, MySQL, Postgres, NoSQL, Hadoop, Data Visualization, Tableau, Matplotlib, Communications, Agile, REST APIs, Flask, Regression, Decision Trees, AI, GCP, AWS, Snowflake, Computer Vision, Neural Networks, Spark, Azure, AWS, Docker, Kubernetes, Lambda

Core Competencies: Leadership, Business Analytics, Predictive Analytics, Cross-functional Team Collaboration, Presentation Skills, Communication, Problem-Solving, Time Management, Adaptability, Attention to Detail EMPLOYMENT HISTORY

Data Scientist at Opelsoft June 2024 — Present

Defined use cases in relation to the clients, and lead analysis, architecture, design, and development of data warehouse and business intelligence solutions, implementing them in Agile mode.

Built data pipelines, implemented code modularization involving package creation and co-developed REST API's using Flask for production deployment.

Developed automated data pipelines to retrieve and integrate data from SQL databases, social networks, and user reviews, leveraging Tableau for real-time KPI visualization and data-driven decision-making. Data Scientist at Capital One November 2022 — January 2024

Identified and mitigated high-risk segments by implementing residual modeling on historic data, shared results with senior stakeholders, resulting in awareness about weak spots and improvement plans.

Streamlined the model monitoring pipeline, automating manual processes, and reducing report generation time by 50%, allowing for timely and thorough identification and resolution of issues.

Developed and monitored behavioral risk models, crucial for informed credit decisions, utilizing Machine Learning techniques to analyze consumer credit data, informing targeted marketing campaigns.

Co-created Python software packages using JupyterHub, Python, Snowflake and, fostering cross-team collaboration and efficiency while delivering impactful presentations to senior stakeholders, influencing key market decisions.

Produced detailed regulatory documentation for multiple models, ensuring compliance with industry standards. Data Scientist at Tap Smart Data Information Services August 2019 — August 2021

Revamped archaic reporting system, building and managing CI/CD pipelines, creating Plotly and Tableau dashboards, automating report generation, and providing stakeholders with real-time application insights, leading to improvement in the failure-prone areas and increased efficiency.

Identified customer segments and key issues affecting program efficiency by conducting RMF analysis and k- means clustering, resulting in improved outreach and targeted marketing campaigns.

Managed end-to-end data science projects, from requirements gathering to application deployment.

Conducted in-depth analysis to assess customer consumption patterns and identify high-value segments while leading the development of a real-time dashboard, enabling proactive application improvements. Data Scientist at Pingal Technologies January 2018 — July 2019

Gathered and processed market data using Python and MySQL, building robust data models while defining product metrics and KPIs in collaboration with stakeholders, boosting application performance by 35%.

Developed BI dashboards with Plotly and implemented and maintained machine learning algorithms on the company's platform, driving innovation and efficiency while providing actionable insights for stakeholders. Data Analyst at GST Edge August 2016 — December 2017

Gathered technical requirements and defined performance analytics rules and KPIs for customer accounts while playing a key role in system development, streamlining critical business processes.

Designed Rest APIs and modules for billing and inventory management systems, enhancing operational efficiency. PROJECTS & Internships

Chemonics International/USAID Capstone Internship

Constructed a time-series forecasting model to forecast consumption of test kits based on the data obtained from viral load instruments from 41 test sites, across 4 countries for Chemonics international’s project for USAID GHSC-PSM and used this model to build an inventory replenishment system to automate laboratory supply planning process.

Classroom Engagement Detection System

Designed and developed a system to track the engagement levels of students in the classroom, using TensorFlow and Keras, to assess and enhance the quality of education during lectures. Hotel Booking Cancellation Prediction

Built a propensity model to predict the likelihood of a reservation made at a hotel being canceled, by analyzing historical booking data and customer profiles to achieve accuracy of about 90%.

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