Sachin P adx0gm@r.postjobfree.com

Jersey City, NJ; +1-469-***-****

Professional Summary

Analytics Professional with 10+ years hands on experience in problem solving across Retail and Health Insurance domain

Proficient in utilizing BI reporting tools, including Looker, Tableau, BIRST to generate visually appealing and informative reports.

Skilled in querying data, ensuring data accuracy, identifying error sources, and controlling content access for security.

Skilled in writing SQL queries to extract and manipulate data from databases, ensuring accuracy and efficiency

Experienced in applying advanced statistical techniques & developing report frameworks to drive business KPIs

Knowledgeable in data structures and their application in organizing and storing data for optimal analysis and retrieval

Proficient in Data extraction, Imputation, Transformation, Validation and reporting

Working knowledge of Predictive modeling using Decision trees, Linear and Logistic Regression techniques, Random Forests, Gradient boosting

Proficient in mapping data elements and establishing relationships between different data sources for accurate and seamless integration

Proficient in identifying trends, usage and growth patterns in businesses and ability to present insightful and actionable recommendations to business

Work Experience

Etsy, Sr. Analyst (New York) Dec 2021 – Present

Global E-commerce – Trust & Safety

Performed Content Moderation across multiple domains such as LRE (Legal, Response and Enforcement), Marketplace Safety and Marketplace Standards

Utilized Looker Explores extensively to query and analyze data for the Trust and Safety department.

Ensured data accuracy by performing thorough validation and identifying potential error sources within the data.

Designed a tracking system to assess the Financial GMS Impact (pre/post takedowns) along with other key metrics such as Precision rates, Enforcement Accuracy, Impact on Seller tiers for entire Trust and Safety which saved 8 hours of redundant work per week

Performed Data Analysis using data visualizations to effectively communicate insights and trends to stakeholders.

Scheduled and shared Looks and dashboards with relevant teams, enabling easy access to critical information.

Developed 50+ bots/controls for identifying the violative listings across various areas such as Drug paraphernalia, Noxious plants, prescription drugs, mature content, religious content, political boundaries, NHM items, Brand counterfeit controls around all the branded items such as Rolex, Adidas, Nike etc. that do not meet guidelines and perform action using Big Query/SQL

Developed Dashboards related to QBR, Controls Impact, ERP using Looker tool to surface relevant data trends

Performed headcount analysis for EOP agents by assessing the volume of listings to be reviewed to ensure we are not over/under staffed.

Saved $23 million costs by improving precision of controls that flag violative listings using text-based analytics

Received multiple guiding principle awards for digging deeper and collaboration

Developed new KPI’s for Proactive enforcements and took lead on performing analytics on several Legal issues

Liaised with Engineering, Operations team to setup agent annotations for driving controls precision and worked with Citron Escalation team that occurred in Feb 23

Successfully optimized query runtime from 4 hours to 30 mins by implementing performance tuning techniques

Utilized Google Vision’s Image Recognition feature to accurately detect logos and labels within images

Built new KPI’s for our India content Moderation post our India launch and a framework to look at control’s precision at terms level

EXL, Sr. Manager - Data Analytics (New York) March 2016 – Dec 2021

Project 1: Horizon BCBS - Data Management for Readmission Modeling

Developed modeling data set by integrating key data sources e.g., Claims, Provider files, Pharmacy, Members

Performed ETL and initial data exploratory analysis using Tableau BI reporting tool

Performing Data Extraction, Data cleaning, Data manipulation and Data consolidation

Determining the risk factors predicting readmission for the given (Medicaid) population

Identification of high-risk segments by creating decision trees using CART

Project 2: Horizon BCBS – Identifying Fraudulent Claims using Analytics (PI)

Data Cleaning and segmenting of medical claims to study claims payment pattern

Utilized the SQL Queries to perform data analysis and data cleaning of medical claims

Conducted segmentation of claims data to analyze claims payment patterns

Implemented CMS guidelines and rules in SAS to apply them to the claims database

Formulated hypotheses to identify potential cases of overpaid claims

Analyzed and prepared reports on scenarios involving claim overpayments

Streamlined and industrialized the process to apply the same hypotheses across different projects

Collaborated closely with manual validation and medical coding teams to identify overpaid claims

Maintained detailed documentation of data analysis methods and presented results internally and externally

Project 3: AETNA - Value Based Care (VBC) Attribution

Responsible for the attribution/mapping of Commercial and Medicare members across various value-based care deals such as PCMH, ACO and Medicare collaborative

Generating weekly and monthly Member statistics reports. Validate members, perform research analysis and providing solutions for the various ad hoc requests

Interact with Medical Economics unit to setup PBG deals and developing SQL queries

Performing Quality Analysis on data and automating the tasks using SAS EG

Project 4: AETNA - Advanced Reporting Transformation & Concierge reporting

Managed and inspired a diverse team of 10 professionals, including Business Analysts, Developers, and Testers, for a visualization project.

Collaborated with Business owners, collected requirements, and utilized the BI reporting tool to perform data mapping and create dashboards according to specifications.

Proficient in Agile methodologies and skilled in utilizing development productivity tools like JIRA and Confluence.

Accountable for generating monthly and quarterly concierge reports and implementing enhancements to plan sponsor reporting using SAS.

Project 5: IBC - Provider Engagement for Healthcare Insurance Organization

Developing algorithms for scheduling the visit appointments for the Nurses with providers

Performing J-code analysis and comparing service costs for J-codes across various care of sites

Developed a macro to consolidate multiple feedback forms into single file.

Creating user guides for Provider visit feedback form, Hospital Scorecard and reports

Developed Tableau dashboards to perform analysis and identify outliers in the data

Project 6: ABC Foundation Donor Propensity Analysis

Utilized Spark and Hadoop as the primary frameworks for processing and analyzing large volumes of data in your data analytics project.

Utilized Spark to extract data from various sources, such as databases, CSV files and performed distributed data transformations and manipulations

Identified major factors influencing a person becoming a major donor

Conducted preliminary exploratory analysis of the data using the Looker Studio

Utilized Spark's data manipulation functions and libraries to cleanse and preprocess the data, including handling missing values, data imputation, and outlier treatment.

Extracted census data from external websites and merged with original data to further improve the analysis

Built predictive models to estimate the likelihood of a new donor becoming a major donor

Segmented donors into homogeneous clusters and recommended actions to be taken for particular type of donors to increase donations

International Scholars Office – OSU, GRA(Oklahoma) Oct 14 – Dec 15

Coordinating with admissions office in providing appropriate services and support to international students

Generating daily and monthly excel reports and performing data entries

Creating Statistical graphs using reporting tools

Analyzing data trends and patterns of student’s academic and demographic information

Integration/Mapping of current student information system with Banner system

Performing updates and changes for maintaining official websites using Drupal and Joomla

Trianz, Oracle Process Manufacturing Consultant (Oman). Jun 12 – Aug 14

Interacting with clients to analyze the organization business process and map it to the Oracle E-Business suite

Analyzing and comprehending the business requirements of the client organization.

Designing and implementing the integration process to connect traditional information systems with Enterprise Resource Planning (ERP) systems.

Demonstrating proficiency in Oracle Cost Management, Production, Process Execution, and Testing.

Conducting testing on custom Oracle forms and reports.

Developing SQL queries to extract data and generate comprehensive reports.

Facilitating Conference Room Pilot (CRP) and User Assessment Training (UAT) sessions for business clients.

Possessing a strong skill set in working with the Supply Chain Management module.

Education

Oklahoma State University, Stillwater, Oklahoma (GPA – 3.83/4.00) Aug 14 – Dec 15

Master of Science in Management Information Systems

JNTU University (GRIET), Hyderabad, India (GPA – 7.8/10) Aug 08 – May 12 Bachelor of Science in Information Technology

Technical Skills

Data Analytics Tools/Tech: SQL, Big Query, Python (Beautiful Soup, NumPy, Pandas)

SAS Related Tools: SAS Miner, SAS 9.4, SAS EG, Spark

Languages/Tools: Looker, Tableau, Power BI, Amazon Redshift, Toad, Unix

Project Management Tools: JIRA, Confluence, MS Excel, VBA, PowerPoint

Certifications

Advanced SAS and Base SAS certified

Advanced SQL for Query Tuning and Optimization

Python for Data Science and Machine Learning

Tableau Desktop Certified Associate and Specialist course

Personal Projects

Project 1: Predicting 2019 Cricket World Cup by Artificial Intelligence using Python

Conducted web scraping and utilized Python's Beautiful Soup package to extract data from Cricinfo website.

Consolidated batting and bowling records for each team from 2010 to 2019 and merged them with match results data using Jupyter Notebook.

Performed data cleaning, addressed missing values, and generated additional features to enhance decision-making capabilities.

Developed classification and regression models to estimate the probability of teams winning the World Cup, including league matches.

Project 2: Web scraping using Beautiful Soup and Web automation with Python and Selenium

Developed automation scripts using Python and Selenium to streamline the court reservation process by automating the courts reservation procedure.

Scheduled the scripts to run daily at specified times using Windows Scheduler.

Project 3: Predicting the outcome of NBA games

Conducted comprehensive data analysis to identify key predictors that strongly influence the outcome of games and determine the winning team

Developed predictive models utilizing halftime data to forecast future game results

Recognized the significance of factors such as field goals efficiency, three-pointer efficiency, and the number of assists in determining the winning team

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