Bramhotri Parida Email & Phone Number

United States

Card Risk Pre Charge Off Strategies

Los Angeles, California, United States

• Under Professor Ramcharan Rodney
• Web Scrapping from various sites showing financial and economic indicators.
• Created pipelines for data collection and structuring, data preparation, preprocessing and transformation using High Performance Computing platforms and Python.
• Performing Exploratory Data Analysis, building predictive models using Machine Learning techniques and reporting metrics.

Modesto, California, United States

• Responsibilities:
• Demonstrated data wrangling techniques by transforming raw data (500k rows of manufacturing data and 300k rows of inventory data) into a usable format, merging large datasets, and deriving relevant attributes.
• Performed Exploratory Data Analysis to uncover patterns within inventory data to extract actionable insights.
• Optimized manufacturing process of wine by identifying root causes of manufacturing usage variance.
• Created insightful analytics to find similarities between attributes to cluster wine products.
• Forecasted wine blend component usage by developing Deep Sequence Learning Models - Long Short-Term Memory (LSTM) and achieved 90% test accuracy using AWS SageMaker to support efficient inventory planning.

Bengaluru Area, India

• Job Role: Data Analyst with focus in Data ScienceAccomplishments: Graded in the ‘Excellent Category’ in the Annual ExxonMobil Employee Performance Rating (2019-2020)Responsibilities:
• Built predictive models in Python and R for diverse customer experience datasets.
• Led full development lifecycle: requirement gathering, stakeholder discussions, business rule implementation, and dashboard creation.
• Built data pipelines for Snowflake to Azure DevOps migration using Visual Studio.
• Ensured Snowflake data consistency with scheduled SQL stored procedures.
• Contributed to development and maintenance of data pipeline for continuous integration and delivery.

Bengaluru Area, India

• Developed a Predictive Analytics Pilot for Chemical industry using Salesforce data by using R. Analyzed the data science tools used in chemicals industry & recommended pilots for exploring predictive analysis.
• Analyzed & created an algorithm to score growth pipeline opportunities data in Salesforce. Applied predictive analytics methodology to score the success rate of potential sales and developed the visualization for the.
• Built Ensemble models (88% test accuracy) with R using Salesforce data to score and prioritize leads.

Bengaluru

• FirstHive is a Customer Data Platform(CDP) company. FirstHive enables brands to build persistent customer identities by aggregating data from across all sources of customer interactions and customer.
• Tasked with developing a machine learning model aimed at forecasting and discerning customer visitation rates for specific sites.
• Leveraged historical data encompassing diverse social media customer profiles and their corresponding engagement metrics for comprehensive analysis.

Master'S Degree, Applied Data Science, 3.78

Bachelor’S Degree, Computer Science & Engineering, 8.95

Activities and Societies: NCC - National Cadet Corps Courses: Applied Mathematics, Discrete Mathematics, Data Structures, Object Oriented.

Higher Secondary Certificate (12Th ), Intermediate Science, 1St Class With Distinction

Activities and Societies: 1st position in 200 mtrs run in College Annual sports participation. Studied Information Technology as.

High School

Activities and Societies: • House Captain in 8th, 9th, 10th standard representing Yellow House contingent of the High School. • 1st.