Abdul Khaleel Shaik Email & Phone Number

Andhra Pradesh, India

Bengaluru, Karnataka, India

Hyderabad, Telangana, India

Market Mix Modeling:Perform Market Mix modeling and ROI analysis to quantify the effectiveness of various marketing elements, identify key sale drivers and develop econometric models.Developed a regression model in Python with an R‑square of 0.8, leading to the restructuring of cost on highly effective channels.Developed the front‑end web application for the entire Market Mix Modeling project using DashPerformed analysis for various geographies on diverse data setsRecommendation Engine (Next Best Action):Designed and Implemented a custom pipeline to create a granular brick level model, allowing for precise sales attribution to individual HCPs.Leveraged a Genetic optimizer to fine‑tune promotional strategies. Using the HCP‑level model as a fitness function, systematically identified and recommended the optimal promotional touchpoints for each HCP, ultimately boosting sales efficiencyThe project directly contributed to optimizing sales by tailoring promotional efforts to individual HCPs, demonstrating a data‑driven and innovative solution to enhance marketing strategies in the pharmaceutical industry.Referral Network:Determine cities exhibiting a higher prevalence of mCRPC patients and an increased proportion of patients advancing to advanced disease stages. Additionally, investigate the factors that contribute to patient treatment switching in these regions.Identify Urologists and Oncologists in the same network as Nuclear Medicine physicians and analyze network connections between Urologists and Oncologists for potential referrals to Pluvicto using Network graphs.Columbus POC (Veep):Built a web framework that can help the client analyze video interaction between HCP and sales repsAWS and Whisper were used to translate and transcribe the audio into text and speaker diarisationFacial emotion were captured using video analytics through Deep LearningNPL was used for sentiment analysis, question tagging and a variety of other analysis

Bengaluru, Karnataka, India

Optimizing Product Funnel* Monitoring and Evaluating Product Funnel at every stage from Daily active user to Hire* Development and proposal of overall product strategies* Conduct market research to identify competitors, target market, and market trends* Manage product roadmap, Scope, and the timeline for product lifecycle* Develop insights on relevant web purchases behavior, customer onsite search behavior, customer segments, customer journey, and purchase trigger pointsReporting* Manage and Utilize the Tableau and meta base to extract meaningful insights from the data* Automating reporting infrastructure through python and various tools

Bengaluru, Karnataka

Reporting* To Build out the data and reporting infrastructure from the ground up using SQL and Microsoft excel to provide real‑time insights into the product, campaign.* Team productivity tracking and Qc teams work.Dormancy Winback Propensity Model* Built a dormancy win back propensity model to reduce dormancy in watches business using techniques like Logistic Regression, Random forest.Model Performance ‑ The increase in conversion in the first decile was around 50% against 10% generally. Business impact: The business was able to generate a win‑back revenue of ~1.6 cr over a period of 2 months.Customer Segmentation* Built a Cluster Analysis model using K means clustering algorithm with a profiling layer on top of it, Segments like Loyalist, Bargain Hunters, Festival Buyers, etc were identified. Business impact: These segments were used for campaigns post covid to target loyal customers and Festival buyers, fetched the incremental revenue of ~40lacs.Customer Profiling Dashboard* Developed a Tableau dashboard for the Business team to visualize customer profiles to find the Best target group for campaigns.Feedback analysis* Worked on Feedback analysis using Text Mining and NLP which helped to know customer sentiments across various stores.

Hyderabad Area, India

Transactional fraud analytics* Independent judgment, problem‑solving and analytical skills were used to authenticate customers and sellers on the platform and the complex transactions. The main tenets were to eliminate e‑commerce fraud.Reporting and Documentation* Occasionally used to work on SQL to build a detailed report and documentation on common fraud trends and patterns.* Perform data quality reviews and work with investigation resources to perform updates

Hyderabad Area, India

Worked as Customer Service Representative used to handle calls and back end work.

Master'S Degree, Data Science

Bachelor'S Degree, Mechanical Engineering, 8.91