Summary
Overview
Work History
Education
Skills
Academic Projects
Technical Skills
Accomplishments
Certification
Eligibility
Work Availability
Quote
Timeline
Teacher
BHARADWAJ NARNE

BHARADWAJ NARNE

Dallas,United States

Summary

Results-driven & self motivated data scientist offering 4+ years of experience in strategic data analysis, statistical modeling, and deep learning across various industries. Proven ability to validate and analyze complex datasets to drive data-driven decisions. Adept at solving problems and optimizing performance using quantitative methodologies, breaking down information and applying interpretations to complex business concerns. Excellent communication skills for presenting complex findings to diverse audiences.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Senior Data Scientist

Mordor Intelligence
Hyderabad, India
04.2021 - 07.2022
  • Identified optimal email copy for marketing campaigns by executing multiple A/B tests resulting in a $270K increase in yearly revenue by analyzing pre- and post-trends to measure the effectiveness of the campaign.
  • Identified critical customer pain points and formulated targeted strategies to address them effectively, resulting in a 30% uplift in overall satisfaction levels.
  • Developed sales forecasting model for retail chains using LSTM Networks optimizing trade promotions. Achieved a 15% WMAPE reduction compared to manual forecasts, enhancing inventory management and promotion planning.
  • Optimized existing models through hyperparameter tuning and feature engineering processes.
  • Collaborated with stakeholders across departments to define business objectives and ensure alignment between data science outputs and organizational goals.

Data Scientist

Mordor Intelligence
Hyderabad, India
03.2020 - 04.2021
  • Orchestrated the implementation of diverse Marketing and Operations dashboards utilizing Looker, facilitating real-time tracking of key performance indicators (KPIs) such as Gross Merchandise Value, Customer growth, Customer Acquisition Cost (CAC), and Customer Lifetime Value (LTV) for C-Suite executives.
  • Engineered an interactive dashboard employing Tableau to disseminate real-time order data to a supplier, resulting in an impressive 18% surge in on-time delivery rates. Utilized SQL queries to extract and process data from Amazon Redshift, ensuring timely and accurate information delivery.
  • Devised a demand forecasting model to effectively manage inventory. Forecasted supply for ~10,000 SKUs across ~50 locations in the US to fulfill same-day and scheduled demand effectively.

Risk Analyst

Amazon Global Delivery Services
Hyderabad, India
06.2019 - 02.2020
  • Implemented Customer Segmentation and Lifetime Value Prediction by employing clustering algorithms like k-means and survival analysis. Increased customer retention by 25% through personalized marketing strategies targeting high-value customers, leveraging Python, scikit-learn, and regression analysis.
  • Developed a customized performance dashboard in Tableau that consolidates KPIs to track and monitor logistics operations resulting in a 20% increase in user adoption and engagement.
  • Developed a Python-based recommendation system utilizing collaborative filtering, content-based filtering, and hybrid techniques that led to a 15% uplift in conversion rates.
  • Produced accurate and timely collections reports, facilitating measurement, decision-making and engagement with customers.

Credit Risk Analyst

Ernst & Young GDS
Bangalore, India
01.2018 - 07.2018
  • Utilized advanced statistical techniques to develop predictive models for credit card and loan default risks, aiding in the proactive identification of potential financial hazards and enabling data-driven decision-making.
  • Developed and fine-tuned machine learning algorithms to enhance the predictive accuracy of credit risk models. Experimented with various algorithms including logistic regression, random forests, and gradient boosting, achieving a significant improvement in model performance.
  • Source Code Conversion and Optimization: Successfully converted and optimized legacy R source codes to Python, enhancing the efficiency and accuracy of data manipulation processes and regression analyses, which resulted in a 20% reduction in computation time and a more streamlined workflow.
  • Cross-functional Collaboration: Collaborated closely with cross-disciplinary teams including Data Science, Finance, and IT to ensure the seamless integration of new Python-based analytical solutions, contributing to an enhanced analytical infrastructure, and fostering a culture of continuous improvement and learning within the credit risk analysis domain.

Product Analyst

IMI Mobile
Hyderabad, India
07.2017 - 12.2017
  • Project Coordination and Workflow Design: Actively supported the Product Manager in launching a mobile application for the state government by preparing comprehensive workflows. Ensured a coherent development process that aligned with the project's goals and timelines.
  • Technical Documentation and Support: Prepared detailed technical documentation encompassing user manuals, system specifications, and troubleshooting guides, which facilitated a smooth launch and provided a valuable resource for ongoing support and maintenance.
  • User Experience (UX) / User Interface (UI) Design Collaboration: Collaborated closely with UX/UI Design teams to enhance product usability and aesthetic appeal. Provided data-driven insights on user interactions and satisfaction, contributing to design improvements that elevated the user experience and fostered higher engagement rates.

Education

Master of Science - Business Analytics - Machine Learning Track

The University of Texas At Dallas
Richardson, TX
12.2023

M.Sc. (Hons.) Mathematics + B.E (Hons.) Civil Engineering -

BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCES, PILANI
08.2018

Skills

  • Python Programming
  • Database Management
  • BI Tools Expertise
  • Data (Ingestion, Preprocessing, Exploration)
  • Data Analysis
  • Data Mining
  • Multivariate Analysis
  • Feature Engineering
  • Machine Learning
  • Statistical Analysis
  • Business Forecasting
  • Intelligence Gathering
  • Time-Series Analysis
  • Scalability and Performance Optimization
  • Evaluation and A/B Testing
  • Deployment, Integration, Monitoring and Maintenance
  • Documentation and Reporting
  • Text classification
  • Topic Modeling
  • NLP
  • Deep Learning
  • Reinforcement Learning (RL)
  • Multiagent systems (MAS)
  • LLMs

Academic Projects

· Conagra Data Science Hackathon: (4th among 80 teams): Created data-driven strategies such as predictive analytics to help Conagra Brands optimize their growth potential in the Table spreads category by analyzing data and presenting key recommendations to senior leadership.

· Real estate Lang chain agent: Developed an advanced real estate chatbot (LangAgent) that utilizes OpenAI’s Generative Pre-Trained Transformer (GPT) models to interact with users and serp API to give the LLM access to real time data.

· Automatic Text Summarization System: Developed advanced text summarization system leveraging NLTK, SpaCy, etc., to distill daily news into the top ten critical headlines.

· Food Giant Expansion Business Strategy: Devised a business location strategy for high-profile Asian food chain to open new food chains in Dallas – Fort Worth using ArcGIS Pro optimizing proximity/drive time, market potential, profitability, customer profiles.

Technical Skills

Programming & ML Toolkit:  Python, R, SQL, Tableau, Power BI, ETL (Informatica), Alteryx

Big Data & Data Warehousing: Apache Hadoop (HDFS), Apache Spark, Apache Hive, Google Big Query, Snowflake, Teradata

Libraries & ML Frameworks: NumPy, Pandas, Scikit-Learn, Plotly, Matplotlib, Seaborn, Keras, NLTK, SpaCy, Genism, PyTorch,TensorFlow

Other Tools:  Microsoft Office, JIRA, Jupyter, Spyder, AWS, Azure, Google Cloud Platform, Kubernetes, Flask,Docker

Accomplishments

  • Graduate Dean’s Scholarship - University of Texas at Dallas, 2022 - 2023
  • Innovation in Science Pursuit for Inspired Research (INSPIRE) - Scholarship for Higher Education by Department of Science & Technology, India. Awarded to top 1% of students pursuing Bachelor and Masters level education in natural sciences, 2013 - 2018

Certification

  • Advanced Data Analytics Professional - Google

Eligibility

Eligible to work in the United States under CPT and OPT for up to 36 months.

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Quote

There’s no shortage of remarkable ideas, what’s missing is the will to execute them.
Seth Godin

Timeline

Senior Data Scientist

Mordor Intelligence
04.2021 - 07.2022

Data Scientist

Mordor Intelligence
03.2020 - 04.2021

Risk Analyst

Amazon Global Delivery Services
06.2019 - 02.2020

Credit Risk Analyst

Ernst & Young GDS
01.2018 - 07.2018

Product Analyst

IMI Mobile
07.2017 - 12.2017

Master of Science - Business Analytics - Machine Learning Track

The University of Texas At Dallas

M.Sc. (Hons.) Mathematics + B.E (Hons.) Civil Engineering -

BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCES, PILANI

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