Pardita Patra

Pardita Patra Senior Manager-Management Consulting Bangalore Email:-Phone:- LinkedIN: Pardita_Patra Introduction Result-oriented professional with more than 10 years of extensive experience across management consulting, business strategy, project management and analytics. Accomplished expertise in devising go-to-market strategies, global stakeholder management, driving operational excellence, and optimizing financial performance through data-driven strategies for diverse clients based out of multiple geographies. Professional Experience 1. Senior Manager- Strategy & Analytics, PwC US Management Consulting [Jan’20-Present] • • • • • • Led a 15-member team to deliver custom on-demand suite of analytical custom solutions to one of the largest pharmaceutical companies that can support their sales and commercialization efforts and identify opportunities for data-driven decision making and process optimization Spearheaded the development and productization of “Rep-Co Pilot” solution to enable the sales reps in making calculated decisions; increasing the market share by 18% and adding $46M to the project pipeline Collaborated with C-suite executives to set up a patient journey dashboard for a pharma major that helped in increasing the P&L by 35% by providing actionable insights around promotional strategies and operational expenses Developed a robust and scalable Incentive & Compensation framework and reduced the payout errors by 90%, ultimately saving $8M on a yearly basis for the client Led the development of a Gen-AI based chatbot to cut down the regular reporting tasks by 70% and facilitating seamless dissemination of performance reports and scorecards for leadership and end-users Assisted in the development of comprehensive transformative roadmap outlining the key metrics, KPIs and frameworks to guide a client’s Omnichannel Marketing strategy that increased the ROI by 34% 2. Senior Associate- Management Consulting, Cognizant Analytics [Apr’17-Dec’19] • • • • Worked with data scientists to build an ML-based solution to predict the recurrence rate of cancer and recommend treatment regimens based on the medical history Pioneered an automated platform orders for a pharma manufacturer to streamline the refunds disbursal process against placed leading to an overall savings of $2M and increased efficiency of 78% Managed cross-functional teams, conducted due diligence and advised clients on effective tech stacks to identify and employ in a major $42M Pharma acquisition project Led a 6-member team to develop a scalable and intuitive customer segmentation and targeting model which helped in creating a $16M worth of pipeline. 3. Business Analyst, Tata Consultancy Services Ltd. [Feb’12-May’15] • Automated the Resource Management Tool for effectively managing the talent pool of our organization driving a 50% reduction in the turnaround time • Automated the defect reporting system for a medical device manufacturing client by offering insightful recommendations that led to a savings of $4M annually and reduced the manual intervention by 70% MBA Summer Internship Experience Management Consultant Intern, PwC India, Government & Public Sector (Summer Internship) [Apr’16-Aug’16] • Drafted the policy proposal on “Electronics & Semiconductor Devise Manufacturing Policy" for the state of West Bengal showcasing various marketing strategies for Investor outreach and interest • Conceptualized and proposed the end-to-end development of a mobile app for the 200 cr Rehabilitation scheme of Non-Residential Bengalis by the State Government Education Education College/ University Year CGPA/ % 2017 7.80 GPA out of 10 2011 8.52 GPA out of 10 MBA - Marketing IMT Ghaziabad B.Tech (Electronics and Siliguri Institute of Technology, West Bengal Communication Engineering) University of Technology XII Kendriya Vidyalaya Jodhpur, CBSE 2007 86.20 X Kendriya Vidyalaya Ballygunge, CBSE 2005 89.20 Professional Trainings/ Certifications • • Technical Competency in SQL, Tableau, R, Advanced MS Excel, Visio, Google Docs and PowerPoint Proven track record in building statistical models using Regression, Decision Trees and other ensemble techniques