Animesh Yadav

Business Development Executive

Bengaluru, Karnataka, India5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Strong analytical skills in data analysis and risk management.
Proven track record in optimizing learner journeys and retention.
Expertise in SQL and data visualization tools.

Stackforce AI infers this person is a Data Analyst with expertise in EdTech and data-driven decision-making.

Contact

animeshydv27@gmail.com LinkedIn

Skills

Core Skills

Data AnalysisRisk ManagementProduct AnalyticsCohort AnalysisData Visualization

Other Skills

SQLAmazon RedshiftMetaBaseMySQLLooker (Software)PostgreSQLSlackGoogle SheetsMicrosoft PowerPointReporting & AnalysisPandas (Software)NumPyMatplotlibXGBoostJupyter

About

Graduated with a Bachelor of Technology in Computer Science from IIIT Kota in 2025, I have cultivated strong analytical skills and technical expertise in data analysis with tools like SQL, Amazon Redshift, and MetaBase. Currently working as a Data Analyst at KreditBee, I contribute to risk and data operations. Previously, I supported teams at Scaler and Newton School in analyzing learner journeys, optimizing workflows, and improving retention and conversion rates using data-driven insights. My goal is to leverage data to address complex business challenges and enhance decision-making.

Experience

5 mos

Total Experience

5 mos

Average Tenure

5 mos

Current Experience

Kreditbee

Data Analyst

Jan 2026 – Present · 5 mos · Bengaluru, Karnataka, India

Working in Risk & Data

SQLAmazon RedshiftMetaBaseData AnalysisRisk Management

Scaler

Product Analyst

Oct 2025 – Dec 2025 · 2 mos · Bengaluru, Karnataka, India

Worked across Careers, Program, and NPS teams to solve some operationally heavy problems in the learner journey.
Built the complete Resume Creation & Job Eligibility funnels, analyzing 100k+ daily learner actions to surface drop-offs, mismatch behaviours, and drivers of ineligibility which helped improve funnel progression.
Owned the entire mentor no-show analytics workflow by designing SQL logic in Metabase/Redshift for monthly resets, no-show sequence flags, risk scoring, and SOP-aligned cooldown automation, which replaced manual tracking.
On the operations side, built a unified sessions query covering all session outcomes (completed, cancelled, rescheduled, no-show), enabling a single source of truth for Program teams.
Automated Python-based reporting pipelines that reduced repetitive work by 35% and sped up campaign monitoring.
Additionally led 3-stage job funnel diagnostics and SH Score adoption studies across recruiters, surfacing mismatch patterns and refining how job-readiness signals are interpreted.

SQLMySQLData AnalysisProduct Analytics

Newton school

Data Analyst

May 2025 – Aug 2025 · 3 mos · Bengaluru, Karnataka, India

Conducted cohort analysis on 2,500+ learners (SQL) segmented by enrollment month, program type & channel, revealing 35% higher retention from referrals vs. paid ads.
Built Looker Studio dashboards for Day-7/30/90 retention, enabling PMs to detect churn-prone cohorts in real time.
Recommended personalized nudges (reminders, milestones), cutting early trial drop-offs by 15%.
Analyzed 5,000+ student journeys (SQL + Excel) from trial to paid, finding 42% drop-off at trial-to-first-class stage.
Benchmarked funnel by demographics, discovering 27% lower conversion among non-tech learners, leading to targeted fixes.
Drove product changes (onboarding, mentor check-ins) that improved trial-to-paid conversion by 6.5%.
Collaborated with marketing to optimize campaigns, boosting CTR by 9% and referral enrollments by 18%.

SQLLooker (Software)Data AnalysisCohort Analysis