Pritam Mukherjee Email and Phone Number
I am a certified Data Science professional. I came across the power of Data Science while looking for technologies and tools driving Businesses and got an instant affinity towards this field. I always had a love for relational mathematics and pattern recognition. I am thriving to dig into complex data sets and producing insightful, data-driven strategic recommendations. I am currently working as a Senior Data Scientist in CEDA team exclusively for Enterprise customer complaints for the third largest bank in US. My responsibilities involve understanding pain points of Customers via surveys and structuring problems by categorizing the complaints based on different lines of business and capturing potential complaints efficiently which could hamper bank's repo by implementing machine learning models with MDLC framework as a solution to recommend data driven actionable insights. Additionally supporting Anomaly detection project for capturing the transaction-based issues faced by customers during their digital journey while banking in this various statistical approach is measured and Time series analysis is done to check for best KPI to implement the alert building solution. In the previous role I have supported two major clients (Home Depot and Intel) for the mobile application optimization and predictions task for the purpose of benchmarking in their novel platform. I was recognized for my work by the leadership for my endeavors.Highlights of my work:★Operationalization and maintenance of Safety net models to identify potential escalated complaints with a potential impact of ~ 20 million in savings from manual reviews. ★Applied analytical insights to do dollar impact analysis of certain bugs and network issues, for the financial year (2021-2022) and projected an impact of $ 39 million.★Providing essential consultative support and building key relationships through effective interpersonal, organizational, and leadership abilities.𝗦𝗸𝗶𝗹𝗹𝘀:• 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: Pyspark,Python,SQL,PLC• 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲: Python, Excel, Teradata, Hue • 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗧𝗼𝗼𝗹𝘀: Python, Tableau• 𝗢𝘁𝗵𝗲𝗿 𝗦𝗸𝗶𝗹𝗹𝘀: Project Management, Vendor Management, Communication, Adobe Analytics, Business Analysis & Development, Glassbox, SplunkI can be reached at: pritjee@gmail.com mobile: +91 8939135705
Wells Fargo
View- Website:
- wellsfargo.com
- Employees:
- 246787
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Sr. Data Science Consultant |Sr.AvpWells Fargo Sep 2022 - PresentChennai, Tamil Nadu, IndiaWorking as a Sr. Data Science consultant for CEDA team for Enterprise Customer remediations, major highlights of work include:📌Operationalization and maintenance of Safety net models to identify potential escalated complaints with a potential impact of ~ 20 million in savings from manual reviews. This includes the development and delivery of end-to-end pipeline for Safety net survey transcripts as well as collaborating with technology and business partners to understand key drives that provide value, integration of scoring components and development of post-model code for annotation.📌Coordinated with model governance through continuous engagement with AI-COE partners to resolve issues around sampling and design requirements and completion of model governance documents to deliver results in a timely manner.📌Have provided ad hoc support to different teams for addressing Model risk factors and model development. (making myself always available for any kind of support)📌Handling multiple LOBs along with this: Customer Journey, Fraud and claims management. 📌In the Customer journey through the transaction related issue in which developing anomaly detection for the future scope applied various statistical approach like T-test and Mannwhitney test to benchmark on the desired threshold for detecting any anomaly and generating week over week counts of the same. Building Time series models to compare on the cyclicity of the issues over weekdays vs weekends.📌In the Fraud and claims management project which deals with handling any fraudulent activities related to customer account or any such activity.
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Lead Engineer - Data Scientist ConsultantHcl Technologies May 2021 - Sep 2022IndiaData scientist - working for a mobile project of Home Depot (US) tracking down customer reviews, views and planning out strategic models for improving the end user experience and also providing analytical insights in projecting the dollar impact caused by certain bugs and network errors in the mobile app.Supported another client Intel(US) for their platform to support customer's requirement of predictions task depending upon the workload.Highlights of my work:📌Building a Machine learning model and creating a pipeline for dataflow to automate the user issue classification and creating an automated dashboard on tableau for the team, business leaders and extending the similar support for other offshore teams.📌Applying Analytical insights to do dollar impact analysis of certain bugs and network issues, for the financial year(2021-2022) projected an impact of $ 39 million.By analytical insights assisted in preventing revenue loss of $ 2.3 million due to human (campaign)errors and fraudulent activities.📌Providing essential consultative support on both business and technical roles, building key relationships through effective interpersonal, organizational, and leadership abilities.📌Applying expertise in analyzing and managing large-scale data and generating strategic reports and data analyses to propel business success.📌Applied data science and predictive modelling techniques to support the benchmark platform to predict and give solutions to the client for their work load and requirements. -
Data Scientist And MlSpringboard Sep 2020 - Nov 2021Jaipur, Rajasthan, India📌Pursued Data Science by digging into complex data sets and producing insightful, data-driven strategic recommendations.📌Got acquainted with various Machine learning libraries for supervised and unsupervised learning tools and techniques on Regression analysis, KNN , Clustering , Decision Trees etc.📌Learnt and workied on problems and case studies related to Database management systems. -
Assistant ManagerVedanta Resources Limited Sep 2016 - Apr 2020Jharsuguda Area, India📌Driving a wide variety of projects—including system installations, documentation updates, and procedural improvements.📌Project/Business analyst, working across the upcoming project requirements for ramping up the production lines and best economical strategy for the business.📌Reduced and controlled the cost of purchase of Pitch (a raw material) and sensors by 12% by affective analysis.📌Gathering data, converting data & Researching about the possibility of compromising about the maintenance/operating cost simultaneously of each production process, communicating with each team and analyzing the problems and solutions related to their operational abilities, and understanding the concept of improving the efficiency, used quantitative data gathered to develop an understanding of customer behavior, demographics and presented data that helped guide decisions of the company. 📌Worked as an Assistant Manager with versatility in roles including technical support in Electrical and Automation domain for diverse kind of sensors to Electrical switchgears and motors along with management tasks which included decision making, strategic planning , manpower management ,technical and business documentations.📌Headed a core technical team of 5 technicians,1 engineer in a specific area for it's sustainability and improvement, this specific role gave me insights of managerial skills.
Pritam Mukherjee Education Details
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7.62 -
Tagore Public School73.8%
Frequently Asked Questions about Pritam Mukherjee
What company does Pritam Mukherjee work for?
Pritam Mukherjee works for Wells Fargo
What is Pritam Mukherjee's role at the current company?
Pritam Mukherjee's current role is Sr. Data Science Consultant |Sr. AVP |Wells Fargo| Ex-HCL Technologies| Ex-Vedanta.
What schools did Pritam Mukherjee attend?
Pritam Mukherjee attended Srm University, Tagore Public School.
Who are Pritam Mukherjee's colleagues?
Pritam Mukherjee's colleagues are Adrienne Taylor, Sergio Alvarez, Heidi Stock, Shafiu Usman, Beatriz Bonilla, Venkat Yedlapalli, Nitansh Jain.
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