Surya Darshan Dey

Associate Consultant

Bengaluru, Karnataka, India9 yrs 6 mos experience

Most Likely To Switch

Key Highlights

7+ years of experience in data analytics.
Expert in building automated dashboards and data-driven insights.
Proven track record in reducing operational inefficiencies.

Stackforce AI infers this person is a Data Analytics professional with expertise in E-commerce and Fintech sectors.

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Skills

Core Skills

Data AnalyticsDashboard DevelopmentStakeholder CollaborationMarketing AnalyticsData AnalysisOperations Analytics

Other Skills

A/B TestingAnalytical SkillsAnalyticsAutomationBranch BankingBusiness AnalyticsBusiness InsightsCampaign AnalyticsCross-functional Team CollaborationData ManagementData MiningData VisualizationDigital Marketing AnalyticsExcelForecasting

About

Data Analytics professional with 7+ years of experience delivering actionable insights and scalable solutions across BFSI, e-commerce, and edtech sectors. I specialize in building automated dashboards, conducting in-depth funnel and campaign analysis, and enabling data-driven decision-making across cross-functional teams. From fraud detection and inventory optimization at Flipkart, to campaign and churn analysis at BYJU’S, to delivering leadership-level outreach and banker effectiveness insights at Wells Fargo — I bring a deep understanding of both business goals and technical execution. Key Skills: SQL • Python • Tableau • Data Visualization • Marketing Analytics • A/B Testing • Funnel Optimization • Campaign ROI • Stakeholder Collaboration Tools & Tech: Tableau | SQL | Python | Excel | A/B Testing | Time Series Analysis | PowerPoint | Agile Methodology

Experience

9 yrs 6 mos

Total Experience

1 yr 10 mos

Average Tenure

2 yrs 9 mos

Current Experience

Wells fargo

Data science consultant, AVP

Sep 2023 – Present · 2 yrs 9 mos · Bengaluru, Karnataka, India · On-site

Designed and led development of multiple dashboards (e.g., Outreach Funnel, Banker Effectiveness, Alert, GTM) using Tableau, SQL, and Python, enabling real-time tracking of customer eligibility, KPIs, and outreach anomalies across regions.
Streamlined and automated key outreach analytics processes, including banker supply analysis and digital campaign intake, improving data accuracy (from <10% to >90%), reducing rework by 90%+, and boosting strategic decision-making efficiency.
Collaborated with cross-functional teams and senior leadership on initiatives like the “Intelligent Banker Book” and regional outreach planning; received leadership recognition for delivering scalable, high-impact analytical solutions.

TableauSQLPythonData VisualizationStakeholder CollaborationData Analytics+1

Byju's

Senior Data Analyst - Digital Marketing

Apr 2022 – Jul 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

1. Built Regression based Lead Prioritization ML models to effectively score leads based on all user activities and measure intent to convert, showcased 3 - 6 times conversion likelihood for top 10% leads.
2. Created Key Metrics like LV Score 1.0 and 2.0 using multiple affluence and behavioural signals, resulted in high quality and high ROAS leads.
3. Analyzed the sales curve for re-branding and re-engagement campaigns, identilfied 76% of the audience was reached with just 37% of impressions, getting 85% of total conversion.
Set up multiple tableau and Looker dashboards to effectively and regularly monitor the performance and call out the opportunities and challenges.
4. Extensive primary and secondary analysis of multiple Google and Facebook campaigns using tools like BQ, ADH and MS Excel, allowing DM team to run more targeted campaigns based on event optimization.
5. Cross Functional Team Collaboration - Proficient in working with teams like DE, DM, Sales and Product; created great camaraderie, fastened up the learnings and expedited the work through a marked pipelined procedure.

Regression AnalysisMachine LearningTableauGoogle AnalyticsCross-functional Team CollaborationMarketing Analytics+1

Bigbasket.com

Assistant Manager

Nov 2021 – Apr 2022 · 5 mos · Bangalore Urban, Karnataka, India

Flipkart

Data Analyst

Sep 2018 – Nov 2021 · 3 yrs 2 mos · Greater Bengaluru Area

1. Operations Improvement Projects:
a. Reduced delivery breach from 20% to 5% by analyzing trends across actual vs. planned location, order run rate, pre-paid vs. COD orders etc. Reduced FK quick delivery time from 60min to 30min by giving strong insights and setting up benchmark for every process.
b. Customer returns: Reduced from 10% to 3% resulting in cost savings of Rs. 15L per month
c. Created replenishment suggestions on moving inventory from non-picking to picking area using order history, capacity opened and items on deal (Regression and ARIMA in R)
2.Visibility on Supply Shocks: Measured performance of every city and their effective recovering post supply shocks by tracking orders rescheduled, measuring initial vs. final CPD and SLA.
3.Optimizing Design team Products: Checked Planner Productivity by monitoring the efficiency of beats, Pincode Density analysis, Measured effectiveness of changing slot design, Sale vs. Non-Sale Run rate analysis and Tracked Van utilization trends.
4.Ad hoc analysis:
a. Worked with product and operations in estimating the delay due to inaccurate location suggestions. This helped in increasing Productivity per beat from 26 to 32
b. Quantified customer impact on auto-rescheduling of orders and suggested mechanism to reduce the same
c. Initiated & Drove pilot projects that provoked modifying SOP for ground operations and logic changes in Products using A/B testing.