Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
Hi, I’m

SHREA SHYAM

Data Scientist
Bangalore
SHREA SHYAM

Summary

  • Dedicated Data Scientist with a strong background in biomedical engineering, holding a B.Tech in Biomedical Engineering and an MS in Analytics.
  • Currently excelling as a Data Scientist at Nineleaps, working on a pivotal project with Uber, demonstrating proficiency in Python, SQL, Tableau, and data science algorithms.
  • Accomplished a remarkable transition into a dual role encompassing both technical and managerial responsibilities, displaying exceptional leadership and communication skills.
  • Proven ability to build efficient networks and drive data-driven decision-making in a dynamic environment.
  • Recognized with the "Feather on the Hat" award at Nineleaps for outstanding performance and responsible for managing a team of two employees.
  • Adept at handling multiple workstreams across Data Science, Operations, and Engineering, contributing to the success of the Uber HCV project.

Overview

3
years of professional experience
6
years of post-secondary education

Work History

Nineleaps
Bengaluru

Data Analyst
10.2022 - Current

Job overview

  • Uber
  • Currently engaged with Uber, specializing as a Data Scientist within the High Capacity Vehicle (HCV), Central Operations Network vertical
  • Utilized advanced querying (SQL & Presto), visualization and analytics tools to evaluate the performance of the network, making data-driven adjustments and process complex data sets.
  • Developed and maintained interactive data visualizations using Tableau, enabling stakeholders to monitor and interpret data trends to make effective network optimizations.
  • Helped run data science algorithms using Python that were instrumental in expanding & migrating networks in APAC & MEA markets.
  • Collaborate extensively with cross-functional teams, including Operations, Data Science, Product and Engineering teams, to align network solutions with organizational goals and requirements.
  • Worked with stakeholders to develop monthly roadmaps to standardize processes in terms of foundational setup for new launches across all markets (EMEA, APAC, LatAm), efficient route code standards and internal tooling user manuals.
  • Ensure smooth flow of operations between external teams and regional teams in terms of data flow
  • Kept abreast of emerging trends and technologies in the field of data science, continuously enhancing skills and knowledge to stay at the forefront of the industry.
  • Conducted regular model evaluations and fine-tuning to ensure models remained accurate and relevant in dynamic environments.
  • Nineleaps
  • Recognized with the "Feather on the Hat" award at Nineleaps for outstanding performance.
  • Managing a team of two, by guiding them and assigning tasks on a daily basis.
  • Mentored a team of 4 interns, build roadmaps, helped groom them and fine tune their skillset.

Analytics Vidhya

Data Science Intern
05.2022 - 10.2022

Job overview

  • Research Grant Projects Analysis (India Universities):
  • Conducted extensive Exploratory Data Analysis (EDA) on sanctioned research grant projects for Indian universities.
  • Identified that 40% of projects originated from the Life Sciences discipline
  • Analyzed funding distribution and determined that Indian Institutes of Technology (IITs) secured the highest funding among Tier-1 educational institutions
  • Nifty 50 Stock Opening Analysis (National Stock Exchange):
  • Conducted in-depth analysis of stock market data for Nifty 50 index on the National Stock Exchange
  • Examined gap-up and gap-down openings in stock prices, providing insights into market trends and volatility
  • Interactive PowerBI Dashboards (Meal Delivery Company):
  • Designed and developed interactive PowerBI dashboards for a meal delivery company
  • Enabled real-time tracking and visualization of key performance metrics, enhancing decision-making processes
  • Excel Dashboard for Superstore Dataset Analysis:
  • Created a comprehensive Excel dashboard for analyzing the Superstore dataset
  • Identified that California contributed to 26% of total profits over a three-year period, facilitating data-driven strategies for profit optimization.

Capgemini assoc. Georgia Tech

Data Science Trainee
08.2022 - 12.2022

Job overview

  • Health Risk Prediction through Insurance Claims Dataset Analysis (Collaborative Filtering - Recsys):
  • Led a data-driven initiative focused on predicting patient health risks by meticulously analyzing insurance claims datasets.
  • Applied state-of-the-art collaborative filtering techniques, specifically within the realm of Recommender Systems (Recsys)
  • Developed and fine-tuned machine learning models to uncover latent patterns in patient health records, facilitating personalized risk assessments.
  • Collaborated closely with cross-functional teams, including data engineers and domain experts, to ensure the seamless integration of predictive insights into the insurance claims processing workflow.
  • Implemented robust data preprocessing and feature engineering procedures to enhance model accuracy and reliability.
  • Conducted rigorous model evaluations, validating the predictive capabilities of the system and optimizing it for real-world applications.
  • Stayed abreast of the latest advancements in healthcare data analytics and recommender systems, continually enhancing the predictive capabilities of the solution.

Omega healthcare
Bangalore

Medical Coder
02.2019 - 09.2020

Job overview

  • Boston Medical Center [Project]:
  • Spearheaded the successful Boston project, achieving stabilization within a remarkable four-month timeframe.
  • Demonstrated strong leadership by guiding and assisting in managing a team of 20 professionals, ensuring efficient project execution and delivery.
  • Conducted thorough reviews of Electronic Health Records (EHR) with meticulous attention to detail
  • Proficiently assigned ICD-10 and CPT codes with an exceptional accuracy rate exceeding 97%, contributing to precise and error-free coding practices
  • Certified Professional Coder (CPC) Achievement: Attained a remarkable score of 96% (All India highest known till then) in the Certified Professional Coder (CPC) test administered by the American Academy of Professional Coders (AAPC)
  • Demonstrated comprehensive coding expertise and adherence to industry coding standards.

Hindustan Aeronautics Limited, HAL
Bangalore

Project Trainee
01.2018 - 05.2018

Job overview

  • Advanced Impurity Identification (Composite Materials):
  • Accomplished the precise identification of 90% of introduced impurities within composite materials
  • Employed cutting-edge non-destructive testing methodologies, including CT scanning, to ensure the integrity and quality of materials
  • Integrated the functions of medical equipment (CT scan):
  • Incorporated the capabilities of medical equipment, specifically CT scans, to enhance the quality testing procedures for lightweight helicopter components.

Education

Georgia Institute of Technology

Master of Science from Analytics
01.2021 - 12.2022

University Overview

  • [Project] Drug Reactions Visualization Tool for Physicians
  • Conceptualized and developed a web-based visualization tool utilizing a Skip-Gram model.
  • Displayed individual and common drug reactions, including severity levels of drug-drug interactions.
  • The objective of the tool was to aid physicians in minimizing prescription errors and improving decision-making.
  • [Project] Stroke Prediction Analysis
  • Conducted an in-depth analysis comparing machine learning models (Random Forest, Decision Tree, Logistic Regression) using Scikit-learn.
  • Achieved exceptional predictive accuracy, with Logistic Regression at 95% and Random Forest at 94%, for stroke prediction.
  • Enhanced healthcare decision-making through advanced data analysis.

Vellore Institute of Technology (VIT)

Bachelor of Technology from Biomedical Engineering
06.2014 - 06.2018

University Overview

  • [Project] Sign Language Detection System
  • Engineered an innovative system capable of translating sign language into text and voice outputs.
  • Facilitated improved communication for the deaf and mute community.
  • Demonstrated commitment to enhancing accessibility and inclusivity.
  • Member of Youth Red Cross
  • Conducted blood donation camps

Skills

    Python

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Accomplishments

  • Computing for Data Analytics- Georgia Institute of Technology – edX
  • MySQL for Data Analytics and Business Intelligence- Udemy
  • Certified Professional Coder- American Academy of Professional Coders (AAPC)
  • Feather on the Hat Award Recipient- Nineleaps- Recognized for exceptional performance and contributions to the organization.

Timeline

Data Analyst

Nineleaps
10.2022 - Current

Data Science Trainee

Capgemini assoc. Georgia Tech
08.2022 - 12.2022

Data Science Intern

Analytics Vidhya
05.2022 - 10.2022

Georgia Institute of Technology

Master of Science from Analytics
01.2021 - 12.2022

Medical Coder

Omega healthcare
02.2019 - 09.2020

Project Trainee

Hindustan Aeronautics Limited, HAL
01.2018 - 05.2018

Vellore Institute of Technology (VIT)

Bachelor of Technology from Biomedical Engineering
06.2014 - 06.2018

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SHREA SHYAMData Scientist