Prashant Kumar

Prashant Kumar Email and Phone Number

Senior Data Scientist at BOLD | Ex-Goldman Sachs | M.S in Data Science and Analytics @ BOLD
Prashant Kumar's Location
Atlanta, Georgia, United States, United States
Prashant Kumar's Contact Details

Prashant Kumar work email

Prashant Kumar personal email

About Prashant Kumar

- Data Science working professional having sound statistical, computer science and problem-solving knowledge and skill base, which translates to strong core abilities to solve statistical engineering, Artificial Intelligence, machine learning and data driven problem solving.- Demonstrated track record of improving business decisions by solving problems with data science, applied statistics, data management, and data-driven solutions. Experienced in handling both structured and unstructured data.- SKILLS: Programming : Python, R, SQL Visualization : Tableau, Power BI, Advanced Excel, Power Point, MSOffice Algorithms : Supervised (Eg. Random Forest, Gradient Boost etc.) and Unsupervised (K-Means, KNN,PCA etc.) ML Algorithms Databases : SQL server, MySQL, Snowflake, NoSQL, Hadoop Statistical Data Analysis : Linear and Logistic Regression, Hypothesis Testing, ANOVA, A/B Testing Core Competencies : Data Analysis, Data Mining, Machine Learning, Data Visualization, NLP, Big Data, Deep Learning, Probability Theory, Data Engineering, Predictive Data Analytics, Project Management, Business Acumen, AWS (Lambda, Lex, DynamoDB, CloudWatch, EC2 and SageMaker), H20.ai

Prashant Kumar's Current Company Details
BOLD

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Senior Data Scientist at BOLD | Ex-Goldman Sachs | M.S in Data Science and Analytics
Prashant Kumar Work Experience Details
  • Bold
    Senior Data Scientist
    Bold Nov 2024 - Present
    San Juan, Pr
  • Bold
    Data Scientist Ii
    Bold Jun 2022 - Present
    San Juan, Pr
    • Use Statistical Knowledge for designing and analyzing A/B tests to drive KPI improvements, ensuring that we run the experiments with proper sample sizes and level of power.• Providing insights and recommendations through advanced data analytics to business stakeholders and executive leadership based on data from various sources (backend, click stream/event data).• Provide expertise, direction and oversight to product business intelligence and data engineering efforts to advance data infrastructure, governance and capabilities. Maintain and drive execution of product’s business intelligence roadmap.• Wrote complex SQL queries to create multiple visual dashboard reports; these reports helped executives to make business decisions .• Interact with and support a variety of teams and individuals within the organization to make data-driven business decisions aimed at growth/business optimization• Train analysts in analytics best practices, as well as ensure continuous improvement of analytics methodologies
  • Goldman Sachs
    Data Scientist
    Goldman Sachs Jan 2021 - Jun 2022
    New York, New York, Us
    • Built the prepayment model for corporate forecasting using Neural network and GLM which will help the company predict and control profitability, and adjust future product prices.• Built the charge off model to improve the collection strategies. Model predict the likelihood of an account going to Charge off state in next 12 months. Used LightGBM to build the model and saved ~$50 M annually • Analyzed the 3.7M consumer credit bureau data to identify the high risk merchant for GreenSky• Performed the relevance analysis on Merchant Lexis Nexis risk data and found the top risk features which can be useful to predict risk associated with the business (Eg. bankruptcies and business closure)
  • Goldman Sachs
    Data Science Intern (Fall Internship)
    Goldman Sachs Aug 2020 - Dec 2020
    New York, New York, Us
    • Built model monitoring tool using python and tableau to evaluate all the production model efficiency over a period. • Used PSI/CSI, KL Divergence, JS Divergence, Chi Square test, KS test and modern scikit learn metrics (Regression: RMSE, MAE, MAPE, MSE etc. Classification: Accuracy, Precision, Recall, F1 score, F Beta, AUC, ROC etc.) to evaluate the model performance in the model monitoring tool
  • Goldman Sachs
    Data Science Intern (Summer Internship)
    Goldman Sachs May 2020 - Jul 2020
    New York, New York, Us
    • Developed a multi-media capable customer service Artificial Intelligence Chatbot using AWS Lex to explain the nuances of different types of plans to customers.• The Chatbot has the potential to add 5% reduction in customers queries call initially, which would be like 7,500 calls a month, which translate to 7 FTE save. At 50k$ per FTE, GreenSky potentially looking for 350k$ saving per year.
  • Georgia State University - J. Mack Robinson College Of Business
    Graduate Research Assistant
    Georgia State University - J. Mack Robinson College Of Business Jan 2020 - Apr 2020
    Atlanta, Georgia, Us
    • Worked on research project to identify licensing agreement between two companies using NLP and deep learning algorithm like CNN, RNN and LSTM.
  • Georgia State University - J. Mack Robinson College Of Business
    Graduate Research Assistant
    Georgia State University - J. Mack Robinson College Of Business Aug 2019 - Dec 2019
    Atlanta, Georgia, Us
    • Designed a credit score system for each broker by benchmarking Broker strengths and weaknesses using the Machine Learning model for Starr Insurance Companies.• Employed K-means and MICE algorithm to perform null value imputations on raw data• Implemented N-dimensional spherical projection bounding 95% of data for outlier detection.• Created a mathematical model for getting a score of the brokers using constrained PCA algorithm, which reduces the underwriter speed by 30%
  • Accenture
    Data Scientist
    Accenture Dec 2016 - Jun 2019
    Dublin 2, Ie
    • Increased profits earned in the transportation sector for our client by 11% per quarter by building a machine learning model to predict the number of commuters on a given day for a specific region.• Segmented marketing targets by commuter’s profile using K-mean & PCA. Results obtained helped client determine business strategies. • Worked on the MYSQL Database server where real-time transactions generated from the transportation system in Canada are stored. Used to extract and analyze those transactions from the MYSQL server through SQL and sent those analyzed data report to the client daily.• Created complex analytics dashboards using Tableau, extracting data from multiple data sources and then analyzing the data for pattern recognition in commuters’ profile and traveling time.• Developed business logic modules to support loyalty and period passes for the current transit customers, increasing the number of commuters traveling by 10k per year.• Conducted 4 knowledge transfer sessions(K.T) for 15 new team members, ensuring a smooth transition to project technologies

Prashant Kumar Skills

Neural Networks Pandas R Scikit Learn Amazon Web Services Cloud Development Data Driven Decision Making Sentiment Analysis Tableau Nltk Hadoop Statistical Data Analysis Nosql Chatbot Development Matplotlib Scipy Vader Numpy Decision Making Python Problem Solving Machine Learning Anova Spark Hypothesis Testing Mysql

Prashant Kumar Education Details

  • Georgia State University - J. Mack Robinson College Of Business
    Georgia State University - J. Mack Robinson College Of Business
    Analytics
  • Ramaiah Institute Of Technology
    Ramaiah Institute Of Technology
    Electronics And Communications Engineering

Frequently Asked Questions about Prashant Kumar

What company does Prashant Kumar work for?

Prashant Kumar works for Bold

What is Prashant Kumar's role at the current company?

Prashant Kumar's current role is Senior Data Scientist at BOLD | Ex-Goldman Sachs | M.S in Data Science and Analytics.

What is Prashant Kumar's email address?

Prashant Kumar's email address is pr****@****ail.com

What schools did Prashant Kumar attend?

Prashant Kumar attended Georgia State University - J. Mack Robinson College Of Business, Ramaiah Institute Of Technology.

What skills is Prashant Kumar known for?

Prashant Kumar has skills like Neural Networks, Pandas, R, Scikit Learn, Amazon Web Services, Cloud Development, Data Driven Decision Making, Sentiment Analysis, Tableau, Nltk, Hadoop, Statistical Data Analysis.

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