Raisha Dwivedi

AI Researcher

Bengaluru, Karnataka, India5 yrs 5 mos experience

Highly Stable

Key Highlights

Expert in machine learning techniques for life sciences.
Proven track record in demand planning and forecasting.
Strong analytical skills with a focus on data-driven decision making.

Stackforce AI infers this person is a Data Science professional specializing in Healthcare and Aviation analytics.

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Skills

Core Skills

Data AnalyticsMachine LearningData VisualizationDemand PlanningForecastingWeb Analytics

Other Skills

Analytical SkillsBusiness AnalysisBusiness InsightsComputer ScienceCustomer JourneysData ModelingDatabase DevelopmentDatabasesDeep LearningExcelExploratory data analysisGoogle AnalyticsJDAPharmaceutical IndustryPower BI

About

Data science professional for life sciences/ Aviation domain. Previous experience gained in the field of Demand and forecast Planning, Data Analytics and Decision Science with a strong industry knowledge for Retail, Pharmaceutical and Airline Industries. Work domain includes data analysis with various machine learning techniques, reporting analytics, automation work. As a proponent of interdisciplinary perspective, my three key instruments to problem solving are mathematical approach, application of modern technology and business acumen. Have the ability to lead, be part of a team or work as an individual contributor as per the requirement of the project. Gained major experience in Machine learning techniques using python/R, JDA, Google analytics, Tableau and SQL, Demand planning and Forecasting.

Experience

Accenture

Sr Data Scientist

May 2021 – Dec 2022 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

Client: Johnson & Johnson
Comprehensive SPP Analysis
Developed a data model and management strategies to streamline the data pipeline and ensure data accuracy for a
newly added therapeutic area (pulmonary hypertension)
Powered a self-service analytics framework with weekly/Monthly reports defining ~20 business use cases for CVM Drugs along
with competitor market at national and subnational levels
Understanding Patient watch status (On therapy, discontinued, off therapy etc.) basis of shipment status, Prescriber referrals
performance against the forecasted targets, Sales rep performance across demography, Calls/email performance analysis
Datasets involved: SPP transaction data, Prescriber referrals, Calls/email data, Patient data, Sales Rep Data, Market Data
NS SCHIZ INSIGHT HUB:
Insight hub project for Neuroscience Schizophrenia TA, developed a tableau dashboard reflecting product growth, share point
change APS market, LAI Market and PDOT KPIs; resulting in opportunity identification for various demography
Datasets involved: Rx Data for PDOT volumes, Demography data, Market data, Claims Data
Ad-hoc/Gap Analysis:
Performed various ad-hoc analysis to track: FDM level access vs volume performance/claim performance, Cost and fulfillment
trends, pyres/brand performance and market opportunity

Data ModelingData AnalyticsMachine LearningTableauSQLPython+2

Kmart australia limited

Demand and Forecast Planner

Aug 2020 – Apr 2021 · 8 mos · Bengaluru, Karnataka, India

Demand Planning
▪ Forecasting demand for products lying under specific RBU (Offline sales)
▪ Area of focus was to improve forecast accuracy by implementing necessary history cleansing and estimating the impact of overrides applied by market intelligence
▪ Developed an optimised framework for executing weekly Root Cause Analysis to investigate sales fluctuations/Trend break and FA deviation
▪ Value added by integrating store level information gauging insights on available stocks for better store allocation
Gained experience in: R, Power BI, JDA, Demand planning analysis

Demand PlanningForecastingRPower BIJDA

Mu sigma inc.

3 roles

Decision Scientist

Promoted

Sep 2019 – Sep 2020 · 1 yr · Bengaluru, Karnataka, India

Client: MARS Inc.
Supply chain & demand planning analysis
Gained experience in Tableau, Time series forecasting, SQL
Client: UNITED AIRLINES
Commercial Analytics | Customer satisfaction and response prioritization
Build an end to end automated framework that enabled sales managers to prioritize customers feedback surveys as per priority . This led commercial analytics team to improve their Customer satisfaction.
Gained experience in Topic modelling, Text classification, Exploratory data analysis, Python

TableauSQLPythonTime series forecastingExploratory data analysisData Analytics+1

Trainee Decision Scientist

Oct 2017 – Sep 2019 · 1 yr 11 mos · Bengaluru, Karnataka, India

Client: UNITED AIRLINES
Personalisation and engagement | Website traffic analysis
Worked on analyzing website traffic impacting specific segments of the website and provided significant insights into factors impacting the targeting strategies for various Targeted and Broad based campaigns
Gained experience in Google analytics, Google big querry
Client: PFIZER
Commercial effectiveness | Drug performance analysis
Worked on product performance analysis & tracking, reporting & visualizations and process optimization
Gained experience in SQL, R, Tableau and Excel

Google AnalyticsSQLRTableauData AnalyticsWeb Analytics

Trainee

Jun 2017 – Oct 2017 · 4 mos · Bengaluru, Karnataka, India

Mu Sigma University Training
Successfully completed 4 months of training from Mu sigma university.
Client: ADIDAS (Mock project)
Training included technical training and Mock project. Build R shiny dashboard for a retail client under the mentor ship of on floor decision scientists to execute the mock project as per the delivery standards.
Gained experience in R shiny, SQL, Excel, Statistics

R shinySQLExcelStatistics