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Advanced Analytics

Analytics Manager C00105

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Accomplished analytics professional with over seven years’ experience assisting commercial and analytics teams at Fortune 500 Pharmaceutical and Biotechnology companies to shape their business strategy through data and technology-driven analytical solutions. Focused knowledge in the therapeutic areas of Oncology, Neuroscience, Ophthalmology, Immunology, Respiratory and Hematological disorders, and Rare diseases. Comfortable with a variety of data sources such as Patient level data (IQVIA & Symphony), Electronic Medical Records (EMR), payer and market access data, sales data, channel and contracting data, and EpiData.

Industry and Project Experience

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Large Pharma, Analytics Manager Nov 2018 – Mar 2021

⦿ 3rd member to join the initiative to set up an internal Global Analytics and Technology Centre of Excellence (GATE).

⦿ Made significant contributions to the GATE initiative across recruitment, training, delivery, marketing and played an immense role in building a strong team of 40+ people within 2 years.

⦿ Led the entire analytics workstream and collaborated with 40+ different stakeholders across BUs and delivered several high-impact analytics, data management, and technology projects.

⦿ Provided advanced analytics support to the new, path-breaking customer engagement model that was rolled at Genentech USA.

⦿ Recognized as the Foxe lent Partner for June’20 by the Field Operations team at Genentech.

⦿ Represented GATE at various internal conventions and generated interest around the initiative which helped expand our stakeholder base significantly.

⦿ Created a global impact within the organization by helping the non-US Pharma affiliates with limited secondary data (India, Switzerland) set up ML-based processes to gain data-driven intelligence through social media analytics.

Pharma Consulting, Analytics Consultant Oct 2015 – Nov 2018

⦿ As one of the initial employees to join and a core member of the India team, played a pivotal role in growing the team to 60+ employees.

⦿ Led a team of 7 analysts and handled the delivery of analytics projects across 3 clients.

⦿ Recognized for exceptional performance and rapidly promoted to Associate Consultant, and thereafter to Consultant within 20 months.

⦿ Adopted new technologies such as Alteryx, Python, PySpark, AWS, etc. for the first time within the company and helped drive the technological innovation by playing the role of a Solutions Architect.

⦿ Built Claims Vantage TM, a cloud-based analytics accelerator that cuts the time and costs involved in processing patient claims data by 60%

⦿ Leveraged machine learning algorithms such as K-means clustering to segment customers and non-linear mixed effect modeling to calculate the ROI of promotional tactics.

⦿ Built time series models (Holt-Winters and ARIMA) to project the brand/ class volume trends in the diabetes market that can be dynamically adjusted to incorporate the impact of market events (modeled using a scurve)

Pharma Consulting, Business Associates, Operations Associate Jul 2014- Oct 2015

⦿ Set up the Sales Crediting, Goal Setting, and IC Design processes for products in the Oncology and Neuroscience markets of a leading US-based Pharmaceutical company from the scratch.

⦿ Leveraged SQL, VBA, and SAS to automate the operations processes with stress on quality checks, which resulted in a 50% reduction in the processing time and made the processes more robust.
⦿ Created user-friendly dashboards in Tableau and Excel to report key insights from the analyses to the clients.

⦿ Implemented an algorithm to simplify the screening process for HR based on the Collaborative Filtering technique, which ranks and identifies the most relevant resumes for a job.

⦿ Built machine learning models in R to classify Twitter profiles as physicians or non-physicians using algorithms such as Logistic Regression, Nai°ve Bayes, CART, Random Forest, and Neural Networks, which stood among the top 5 models.

Technical Skills

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Data Analysis Tools: Python, R, SAS, SQL, Alteryx,
Excel-VBA
Big Data Technologies: Hadoop, Apache Spark, Hive, Impala, CDSW, SMV, EDDiE
Cloud Infrastructure: Amazon Web Services, Google APIs, Qu bole
Visualization Tools: Tableau, Qlik Sense (Basic)
Other Miscellaneous Tools: Javelin, MATLAB, MS PowerPoint, MS Word

Education

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Bachelor of Technology
National Institute of Technology (NIT), Calicut, India (2010 – 2014)

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