Pratyush Dash phone numbers
As a Data Analytics Specialist at AB InBev, the world's largest brewer, I apply my skills in Python, R, SAS, Tableau, Excel, SQL, Alteryx, Dataiku, and VBA to deliver data-driven insights and solutions for various business challenges and opportunities. I have worked on projects involving customer segmentation, market analysis, demand forecasting, pricing optimization, and supply chain optimization, using advanced statistical and machine learning techniques. I have also contributed to the development and implementation of data governance and quality standards, as well as the creation and maintenance of dashboards and reports for internal and external stakeholders.Before joining AB InBev in Feb 2022, I was a Senior Analyst at Novartis, a leading global healthcare company, where I supported the analytics and consulting needs of various business units and functions, such as sales, marketing, finance, and operations. I leveraged my biomedical engineering background and my business analytics degree from Oklahoma State University to provide data-driven recommendations and solutions for improving patient outcomes, enhancing operational efficiency, and increasing revenue and profitability. I also collaborated with cross-functional teams and external partners to ensure the quality and timeliness of data collection, processing, analysis, and visualization.
-
Data Science Sr ManagerSandozBengaluru, Ka, In -
Data Analytics SpecialistAb Inbev Feb 2023 - PresentIndia -
Data ScientistAb Inbev Feb 2022 - Jan 2023India -
Senior AnalystNovartis Nov 2020 - Feb 2022India -
Graduate Research AssistantOklahoma State University Jan 2019 - May 2020 -
Graduate StudentOklahoma State University Aug 2018 - May 2020United States -
Data Science InternComcast Jun 2019 - Nov 2019Philadelphia► Topic Modeling: Identifying topics related to different departments using customer call transcripts. The main objective after finding calls related to technical department was to identify if there was a successful technician visit for the same or not ► Feature Engineering: Creating features out of call transcripts to predict successful equipment swaps. This model was very important to minimize losses due to invalid equipment swaps. Features were created out of device level data and device real-time data -
Decision Analytics AssociateZs Apr 2017 - Apr 2018Pune, Maharashtra, India►Tool Building: Designed a reporting tool consisting of sales, marketing, calls, doctor-level data which helped the client to develop a core tactical plan for pre-launch readiness►Incentive Compensation Plan Design: Designed an incentive compensation plan for the sales representatives for different drugs. This helped the client to redistribute its resources accordingly for attracting, motivating and rewarding its sales representatives►Data Harmonization, Quality Check: Cleaned client data to make it look simpler to understand and conducted exploratory data analysis on the harmonized data using SQL and Microsoft Excel►Report Generation: Prepared monthly and quarterly reports for sales, marketing, call activity and incentive compensation by using SQL queries to pull data and performing QC's on the data -
Business AnalystAffine Analytics Aug 2016 - Feb 2017►Regression Modelling: Created a regression model to forecast the total volume sales of consoles based on different key attributes this helped the client to understand the effect of marketing spend variation on sales►Engagement Report design: Designed a console engagement report that identified quarter wise the top games and apps by plotting game time distribution and app time distribution(time distribution is the metric where we find out how much time is spent ongames and apps by a user) respectively►Customer Lifetime Value Modelling: Developed a customer lifetime value model to provide targeted marketing recommendations on the basis of the recency, frequency and monetary scores of the customers. A Logistic Regression model was used to forecast high valued customers►Adhoc Requests: Addressed all ad-hoc requests submitted to the team, from all portfolios handled by the company, including reporting, descriptive analysis, and building advanced excel reports►Report Generation: Prepared daily, weekly, and monthly reports and models by using SQL queries to pull data and performing QCs on the data
Pratyush Dash Skills
Pratyush Dash Education Details
-
Business Analytics -
Biomedical/Medical Engineering
Frequently Asked Questions about Pratyush Dash
What company does Pratyush Dash work for?
Pratyush Dash works for Sandoz
What is Pratyush Dash's role at the current company?
Pratyush Dash's current role is Data science Sr Manager.
What is Pratyush Dash's direct phone number?
Pratyush Dash's direct phone number is +186231*****
What schools did Pratyush Dash attend?
Pratyush Dash attended Oklahoma State University, National Institute Of Technology Rourkela.
What skills is Pratyush Dash known for?
Pratyush Dash has skills like Microsoft Excel, Microsoft Office, Data Analysis, Sql, R, Statistics, Visual Basic For Applications, Tableau, Regression Analysis, Python, Machine Learning, Microsoft Powerpoint.
Who are Pratyush Dash's colleagues?
Pratyush Dash's colleagues are Aneesa Saib, Jakeline Santana Carneiro, Mohammed Helaly, José Sánchez Giménez, Mahesh Gawade, Joaquín Peña, Andrea Austenová.
Not the Pratyush Dash you were looking for?
-
-
Pratyush Dash
Greater Bengaluru Area -
Pratyush Dash
Pmp, Csm, Cspo, Safe Asm, Senior Director, Software Products And Digital EngineeringHyderabad -
Pratyush Dash
Phd Scholar At Iit (Ism) Dhanbad | Gate 2024 Qualified | Nanophotonics | Intense Laser-Plasma InteractionDhanbad
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial