Divyanshu Mehta

Business Development Executive

India3 yrs 11 mos experience

Key Highlights

3+ years of experience in data analytics.
Expert in SQL, Power BI, and Python.
Proven track record in driving business growth.

Stackforce AI infers this person is a data-driven professional skilled in analytics and business intelligence within the SaaS and Fintech sectors.

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Skills

Core Skills

Data AnalysisData VisualizationSqlMachine Learning

Other Skills

Analytical SolutionsAnalyticsBusiness InsightsChurn AnalysisData ManipulationData ScienceDescriptive AnalysisFlaskGoogle AnalyticsLooker (Software)Market Basket AnalysisMicrosoft AzureMicrosoft ExcelPower BIPresentation Skills

About

Business Analyst with 3+ years of experience using SQL, Power BI, Excel and Python to turn data into actionable insights. Skilled at building dashboards, identifying trends and supporting decision making for business stakeholders. I create data solutions that improve efficiency and drive business growth.

Experience

3 yrs 11 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs 1 mo

Current Experience

Blue yonder

Business Analytics Analyst

May 2024 – Present · 2 yrs 1 mo · Bengaluru · Hybrid

Built an algorithm using SQL and Python to identify Upsell, Cross-sell, and New Logo untapped opportunities, and integrated its output into Power BI dashboards—enhancing strategic account targeting and enabling real-time insights.
Built a unified product level dashboard for leadership to track product pipeline, performance, and revenue reducing manual effort and accelerating revenue-focused decisions.
Conducted deep-dive analysis into Professional Services attach rate, helping align services with product sales and optimize bundling strategies.
Implemented a competitive overlay, classifying accounts as Caution or Safe based on product presence —enabling clearer insights into competitive positioning and whitespace potential.
Managed day-to-day and ad-hoc analytical tasks to support business teams with timely insights, enabling faster decision-making and improved operational efficiency.

SQLPythonPower BIData AnalysisData Visualization

Dhurin

Business Analyst

Jan 2022 – Nov 2023 · 1 yr 10 mos · Noida

Was an integral part of the team that designed, implemented and maintained efficient and scalable SQL database system for a bank which contained pre–approved offers for various customers which helped in
Improved Marketing Strategies
Enhanced customer Engagement
Data Driven Decision Making
Increased revenue and cross selling opportunities
Customer Retention
Documented database designs, processes and procedures to maintain comprehensive records.
Performed variable validation to ensure data accuracy and integrity.
Utilized SQL for in-depth business performance analysis, delivering concise summaries and recommendations to management.
Executed data queries, building a customer database for an Insurance Company. Identified potential leads via life events, transforming them for efficient pre-campaign processes. Crafted a sales narrative for personalized and timely customer interactions, enhancing connections and driving engagement.
Leveraged Python tools, Tabula for precise PDF data extraction, and SQL Alchemy for robust database management. This strategic integration optimized information retrieval and ensured a structured database framework for enhanced workflow efficiency.
Conducted Market Basket Analysis for an e-commerce nutrition business to identify frequent product combinations, aiding upselling.
Performed Churn analysis using KPIs (e.g., Cart abandonment rate) to predict subscription terminations, utilizing data from diverse channels for comprehensive insights.

SQLData AnalysisPythonMarket Basket AnalysisChurn Analysis

Celebal technologies

Machine Learning Intern

Jun 2021 – Jul 2021 · 1 mo

Project-Bidding Prediction (Determine the optimal price bid to achieve target)
It involved crafting models to predict optimal bid prices for target achievement in auctions
Utilizing XG Boost historical data is analyzed and features are engineered.
The trained model, deployed via Flask adapts to market dynamics, offering real-time insights for
strategic bidding.

Machine LearningXG BoostFlask