Bhuvana Kesireddy

An experienced and collaborative professional with a proven track record of meeting business needs, enhancing processes, and consistently exceeding requirements in dynamic environments. Diligent data professional with strong analytical skills, effective communication abilities and a knack for prioritizing tasks.

• National Cadet Corps(NCC)- Army wing Girls battalion 'A' certificate Holder of India for the batch 2010-12.
• National Service Scheme(NSS)- Registered Event Management Core Team Member(2018-19)/ Volunteer(2015-2018), who works on Afforestation, Swach Bharat Abhiyan (Clean India), conducting blood donation camps, etc.
• Sankalp(NGO)- Recognized active volunteer from 2015-19 who works on providing education to underprivileged children in the slums of Adityapur, Jharkhand, India.

CROSS-SELL ENRICHMENT (FORTUNE 100 BANK)

Project Description: To gauge the client's presence in the global market and assess its penetration scope

Responsibilities:

• Collaborating with the client's Data Factory team to provision multiple data sources and validate them through an in-house validation process
• Built and automated exploratory data analysis solution in Pyspark for multiple data sources(approx. 150 million customer records) and generated data quality reports for the clients to sign-off
• Gauged the share of wallet for client’s customers at the global level and presented insights suggesting leads and assessing lead-to-sale ratios in collaboration with the key stakeholders of the bank
• Data Analyst/Data Scientist Onboarding & Support

EMAIL & IN-PRODUCT CAMPAIGN MANAGEMENT (FORTUNE 100 TECHNOLOGY GIANT) 

Project Description: To help client achieve more visibility on the attribution of sales from multi-channel marketing campaigns.

Responsibilities:

• Analyzed the event data and customer behavior in the assigned timeframe at a campaign level
• Perform A/B testing and cross-verified users split is balanced across treatment & control groups to compare for campaign effectiveness.
• Scrutinized pre-campaign and post-campaign data and created delivery health and outcome reports that depict the success or failure of a campaign for the client to sign-off

SALES FORECASTING (FORTUNE 500 AUTOMOBILE ANCILLARY) 

Project Description: To predict sales for different vehicle segments to help client in proactive demand planning 

Responsibilities:

• Conducted benchmarking studies, analyzed market data, identified patterns, trends, and created a hypothesis matrix.
• Cleaned the data and thus obtained features are selected through the Random Forest technique based on feature importance scores.
• Consumer Price Index (CPI), Net Promoter Score(NPS), defect rates, and days' sales of inventory turned out to be major demand drivers for sales upon building an ensemble machine-learning model.

SKU RATIONALISATION (FORTUNE 500 FMCG) 

Project Description: Identify low-performing SKUs to improve existing assortment strategy to maximize store revenue 

Responsibilities: 

• Analyzed the data and performed exploratory data analysis for distribution analysis and sanity checks
• Performed feature engineering and created clusters of similar performing SKUs using clustering techniques like K-Means and Hierarchical
• Implemented Apriori algorithm and checked for inter-SKU association at the cart level
• Landed at an insight stating that around 80% of sales are being contributed by only 27% of products and recommended the list of products that can be removed at the store level