Rahul Patil work email
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Rahul Patil personal email
As a Senior Data Scientist with extensive experience in the field of data science, I have a proven track record of delivering data-driven solutions that drive significant business impact across a wide range of industries. My expertise spans areas such as FinTech, Ads, Revenue, Risk & Safety, and transportation, among others.My expertise lies in data mining, predictive modeling, and machine learning, where I have a deep understanding of techniques such as regression, decision trees, random forests, neural networks, and clustering. I have also worked extensively with big data technologies such as Hadoop, Spark, and Hive.Currently, I work with Uber as a Sr. Data Scientist, where I'm responsible for developing algorithms and models that power the company's business decisions. In my role, I collaborate with cross-functional teams to understand business problems, develop hypotheses, and design experiments to test them.As a passionate data scientist, I'm constantly looking for new ways to improve my skills and stay up-to-date with the latest trends in the industry. I believe in using data to make informed decisions and drive business value, and I'm excited to continue pushing the boundaries of what's possible with data science.Tools and technologies:► Programming Languages: Python, SQL, PySpark, R, Scala► Adv. SQL: Hive, presto, Vertica, Casandra, Oracle► Data Visualization: Tableau, Google Studio, Power BI, Seaborn, Plotly, D3.js► Big Data Technologies: Hadoop, Spark, Hive, Pig, MapReduce, Kafka, Flume► Cloud Services: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform► Machine Learning Libraries: scikit-learn, TensorFlow, Keras, PyTorch, XGBoost, LightGBM► Data Manipulation Libraries: Pandas, NumPy, SciPy, dplyr, tidyr, reshape2► Data Storage and Querying: SQL Server, MySQL, Oracle, PostgreSQL, MongoDB, Cassandra► Natural Language Processing: NLTK, SpaCy, Gensim, Stanford NLP, TextBlob► Deep Learning Frameworks: TensorFlow, Keras, PyTorch, Caffe, Theano, MXNet► Statistical Analysis: SAS, SPSS, STATA, R, Matlab, Excel► Version Control: Git, SVN► Web Scraping: BeautifulSoup, Scrapy► Distributed Computing: Docker, Kubernetes, OpenMPI►Analysis: Experimentation(Synthetic Control, Switchbacks, MAB), A/B Testing, causal impact► Anomaly Detection - FB Prophet (additive regression), isolation forest, STL, IQR, z-score, DBSCANThank you for taking the time to learn more about me, and I look forward to connecting with you on LinkedIn. Phone: +1-214-566-9635E-mail: rrpatil.8378@gmail.com
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Senior Data Scientist, MlUberSan Francisco, Ca, Us -
Senior Data ScientistUber Mar 2021 - PresentSan Francisco, California, Us- Leading Data Science for the FinTech ML platform, delivering solutions for Fin-tech and Strategic Finance.- Pioneering forecasting and prediction ML models to bolster strategic and operational decisions.- Innovating in anomaly detection, crafting insights that significantly enhance data quality.- Harnessing analytics to uncover key metrics, propelling Uber closer to its profitability goals.- Architecting models to predict efficiency, customer retention, cohorts, and market share, enhancing global strategies.- Building interactive dashboards for insightful, data-driven decisions in board and investor meetings.- Utilizing machine learning and data mining to reveal transformative insights, shaping the future of mobility and delivery services.- Analyzing user behavior across products, informing targeted improvements and personalized experiences.- Enhancing cross-functional collaboration through data, bridging gaps between engineering, product, and finance teams.- Championing a culture of continuous learning and innovation within the data science team, fostering professional growth and excellence.- Implementing rigorous data governance and integrity measures, ensuring the highest standards of data quality and reliability
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Data Scientist IiUber Jun 2019 - Mar 2021San Francisco, California, UsActivities: - Design models to forecast efficiency, customer retention, cohorts, and market share for Uber in all regions; Build interactive dashboards to make data-driven decisions inboard and investor meetings- Leverage machine learning models and data mining to uncover insights- Perform Financial Analytics, including Revenue, Tax, and Partner accrual Analytics- Set up a study model to analyze the behavior of users for different products- Build data framework for revenue systems to onboard new acquisitions like Uber JUMP, Uber Freight on our platform which the existing system cannot handle due to change in revenue accounting logic- Build & automate reporting processes using Hive ETL, Spark, Python scripting, and visualizations in R shiny and Tableau to make data-driven decisions; achieved 30% reduction in cycle time and human resources requiredMajor Projects:- Customer engagement Funnel analysis (Model to find leakage in user acquisition funnel )- Lifetime Value (LTV) Prediction Models- LTV by marketing spend (mCAC) efficiency dashboard- Transactional solution to Sparks "Insert Overwrite" behaviour - Delta Lake implementation (Scala and Spark)- Cost Management Dashboard - One-stop-solution for all expenses happened at Uber- CLOe (Cross-Lever Optimization Engine) for the Driver and Riders- Finance Metric Settlement Dashboard: Financial datastore(FDS) - Causal impact analysis for the trip loss in future- Behavior analysis: business travels and airport travels for Rides- Develop a model to analyze the incrementality of the riders and drivers in the new loyalty program- A/B testing: Find the trip loss amount per user after having raised a defectTools and Technologies:Programming: Python, PySpark, Scala and RSQL: Hive, Presto, Vertica, Casandra, Oracle, MySQLDashboard: Tableau, Looker, R (Shiny, GGPlot2), Python(Bokeh, Seaborn)ETL: AWS(Redshift, Athena, s3), Delta Lake, Apache Hudi, Piper, Airflow, Informatica
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Data Science Intern - Data Science(Spring’19)Uber Jan 2019 - Apr 2019San Francisco, California, UsWork for the strategic finance data science team at Uber, where I perform Financial Analytics like customer churn and financial forecasting, build business health dashboards for automation and reporting, ARIMA forecasting models, as well as building ETL data pipelines for faster data processing for our team.
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Data Science Intern- Data Science(Fall’18)Uber Aug 2018 - Dec 2018San Francisco, California, UsTeam - Financial Intelligence(FinTel) Data Science TeamTools and Technologies:Hive, Presto, VerticaPython, RPysparkHadoopHiveETL scriptingPiper- python SDKShiny R, Bokeh, Tableau, Dashbuilder
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Data Science InternAmerican National Bank Of Texas May 2018 - Aug 2018Terrell, Tx, UsData Science Summer Project: 1. Determine if leading indicators exist to reasonably detect customer retention risk.2. Determine the Next Best Offer for the customer based on an approach of classification decision tree."What are the distinguishing (behavioral) variables between customer/consumer that ended their relationship with the ANBTX from customers that continued (non-stoppers) and how well can different Analytics techniques/models predict that customer will stop the relation within the next few months. "In-Scope Products: Loans (all types), Deposits (Savings and DDA), Time (CD), InsuranceAnalysis: Churn Prediction, Cohort Analysis, Survival AnalysisActivities:• Developing the Informatica web services (ICRT) processes based upon Informatica cloud application integration.• Developing REST API’s from Data Sources and Service Connectors for exposing the aggregated functionality to Consumers.• Involved in Technical Design Document Preparation of the Project.• Made necessary for incremental loads to populate data based on CRM Dynamics needs which are related to case creation. • Performance tuned Informatica cloud mappings/ ICRT services using the data access services.• Worked on Performance Tuning, identifying and resolving performance bottlenecks at various levels like sources, targets, mappings, and sessions.• Performed Unit testing, System testing to verify the data loads and services are returning the results as per SLA.Tools and Technologies :R and Python ProgrammingData Analysis, Data CleansingData modelingETL Informatica Cloud(ICS, ICSRT) TableauIBM Congos ImpromptuSQL Server Management StudioProject Management:Agile Scrum - Jira Board -
Data Analyst IiPrincipal Financial Group Feb 2017 - Jul 2017Des Moines, Iowa, UsWorked in the Marketer Services team which basically was responsible for providing support and on time payments of compensation to the Right Marketer at the Right Time. Was part of 18-member Scrum team and followed the SAFe practice of SDLC and well versed with the SAFe ceremonies. • Analyzed U.S. DOL fiduciary law changes and prepared requirement analysis document and redesigned SQL queries, stored procedures and enhanced impacted jobs for policy compensation system(PCS) • Automated abend tracking workflow in automated business processing (ABP) and enhanced codes for automatic resolution of repeated 17 abends.• Enhanced insurance policy creation workflows in PCS for IAR, RIA and for brokers• Analyzed DB2 utilization in production jobs and enhanced SQL queries for impacted jobs • Implemented critical ABP flows for life insurance products in PCS• Handled large data using IBM DB2 and created weekly reports of the total compensation paid versus the amount that failed and was also responsible for doing the Balancing and Check.• Worked on end to end Software Development Life Cycle process on Agile methodology and followed Agile SAFe on enterprise level, followed Agile Scrum on Business Unit level with extreme programming in critical releases • Co-ordinated with Client in requirement phase of the task and given business walkthroughs for several projects• Experience in handling the tools such as Informatica PowerCenter, Service Now, TWS, Putty and WinSCP, REXX, XPEDITOR and FILE-AID, Change man and IBM Debugger.Certificate:• Agile 101• Agile SAFe• Agile Scrum -
Data EngineerSyntel Sep 2014 - Feb 2017Troy, Michigan, UsWorked in Syntel International Limited as a Data Engineer for a client “American Express cards” and “Ameriprise Financials” in the Development team of Admin-Server - Oracle’s Policy Administration system, and extensively worked on ETL Informatica, DW, Oracle/DB2 and, IBM Mainframe, possess good analytical and problem-solving skills. An ETL resource with a good understanding of ETL flows and mechanism.Understanding of Database and practice in DB2, Oracle, and MS-SQLUnderstanding of Data Migration Projects.• Experience in Data warehousing, Data Analysis and Data Migration, Development, ETL, Maintenance, Unit Testing and Documentation• Data Warehouse experience using Informatica Power Center 9.x (Source Analyzer, Repository Manager, Mapping Designer, Mapplet Designer, Transformation Designer, Workflow Manager, Monitor) as ETL tool on DB2/Oracle/ Microsoft SQL Server Database• Knowledge of Dimensional data modeling, Star schema modeling, Snowflake modeling, with experience in TOAD and SQL Developer• Knowledge of end to end Data Migration projects, the approach, the dependencies and flow• Extensively used Microsoft SQL Server and DB2• Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, Deployment, Maintenance and Production support• Experience in creating Transformations (Lookup, Joiner, Aggregator, Expression, Update Strategy, Router, Filter, Normalizer, Transaction control, Source Qualifier, Sequence Generator, Sorter, and Rank), Mappings using Informatica Designer and Tasks (Sessions, Command, Email) using Workflow Manager to move data from multiple sources into targetsAchievements:• Achieved 2 Syntel Excellence awards for outstanding performance and recognized among top 10% performers• Achieved Kudos award for outstanding work done in the 1st year of joining and delivered the GMWB project within the timeframeCertification:• Lean certification• Agile SaFe• Agile 101 -
FounderNomad Riders And Adventurers Apr 2014 - Nov 2014Designed social media marketing campaigns to create a buzz and procure orders; achieved 100% growth in sales for 2 consecutive quarters Led a team of 4 freelance event management students to manage huge eventsStrategized and contacted bike rider groups near Pune area and Organized multiple outdoor adventure events. Administered revenue & managed cost by streamlining sales towards huge events and tour plans, reduced variable cost by ~20%
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Project InternVodafone Global Enterprise Jul 2013 - Dec 2013London, Uk, Gb• To study handling of Network Switch System, with detail study of Operation and Maintenance of Switch • Increased Paging Success Rate to 94% across all locations in India.• Worked on various alarms (BCF, BTS, and TRX) to resolve the various problems in the GOA region• Worked on pre-analysis with the guidance of Nagpur team.• Found out the CGR’s of the MSS’s in MSC Traffic Report whose utilization exceeded 65%.
Rahul Patil Education Details
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Harvard Business SchoolLeadership & Strategy -
The University Of Texas At DallasBusiness Analytics ( Data Science)
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Symbiosis International UniversityElectronics And Telecommunications
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Symbiosis Institute Of Business Management, PuneManagement And Operations
Frequently Asked Questions about Rahul Patil
What company does Rahul Patil work for?
Rahul Patil works for Uber
What is Rahul Patil's role at the current company?
Rahul Patil's current role is Senior Data Scientist, ML.
What is Rahul Patil's email address?
Rahul Patil's email address is ra****@****ber.com
What schools did Rahul Patil attend?
Rahul Patil attended Harvard Business School, The University Of Texas At Dallas, Symbiosis International University, Symbiosis Institute Of Business Management, Pune.
Who are Rahul Patil's colleagues?
Rahul Patil's colleagues are Faizan Ali, Alan Wong, Jennifer C., Lexi Levin Mitchel, Koami Amouh, Keverson Lucas, Leonardo Almeida.
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