Sriharsha Aithal

Co-Founder

Bengaluru, Karnataka, India2 yrs 4 mos experience

Key Highlights

Expert in retail forecasting and analytics.
Strong background in data-driven decision making.
Proven track record in product management and operations.

Stackforce AI infers this person is a Data Scientist with expertise in retail analytics and product management.

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Skills

Core Skills

Data ScienceForecastingProduct ManagementBusiness Analysis

Other Skills

Python (Programming Language)Pandas (Software)SQLTableauAdvanced ExcelPostgreSQLGoogle BigQueryBusiness OwnershipRequirements AnalysisProgrammingProblem SolvingData VisualizationMachine LearningExploratory Data AnalysisGit

About

I’m a Data Scientist at Impact Analytics, working on retail forecasting and analytics across end-to-end workflows using Python, SQL, and Scikit-learn. My work involves EDA, feature analysis, forecast evaluation, and simulation-based corrections, with a strong focus on turning data into practical, decision-ready insights. Previously, I worked at Cognizant on analytics-driven business problems, where I built a business-first approach to data using SQL, Advanced Excel, and stakeholder-focused reporting. I also founded ELV8 Apparels, a small D2C clothing brand, where I handled product research, operations, and customer feedback loops. This experience strengthened my product thinking, execution discipline, and user-centric problem-solving. I enjoy working at the intersection of data, product, and execution—whether it’s forecasting demand, improving analytical workflows, or running focused experiments that inform better decisions. 🔗 GitHub: github.com/harsh-aithal 📧 Email: sriharshaaithal26@gmail.com

Experience

2 yrs 4 mos

Total Experience

1 yr 4 mos

Average Tenure

11 mos

Current Experience

Impact analytics

Data Scientist L2

Jul 2025 – Present · 11 mos · Bengaluru · Hybrid

At Impact Analytics, I work on end-to-end retail forecasting and analytics pipelines for enterprise clients, operating across data engineering, modeling, evaluation, and business-facing analytics.
Key Responsibilities & Impact
Build, optimize, and maintain production-grade forecasting workflows across 5+ master datasets (transactions, inventory, store, product, fiscal), processing 10M+ time-series records at SKU–store–week granularity.
Perform EDA, data validation, and feature analysis using Python (Pandas, NumPy) and SQL, identifying demand anomalies, data gaps, and leakage patterns that improved downstream model stability by ~15%.
Design and implement forecast correction and evaluation logic including LSI, MII, and FMT creation, and conduct WAPE-based performance analysis, contributing to 5–10% accuracy improvements across multiple forecasting cycles.
Run simulation-based experiments to compare alternative forecast scenarios and business constraints, reducing business-impacting forecast errors during seasonal peaks.
Write and optimize complex SQL pipelines in PostgreSQL and Google BigQuery via DBeaver, reducing query runtimes by 30–40% and improving data reconciliation reliability.
Automate repetitive analytical steps using Python scripts and reusable modules, improving pipeline throughput and cutting manual analysis effort by ~35%.
Develop Jupyter notebooks for exploration, validation, and experimentation; manage versioned codebases using GitHub to support collaborative analytics workflows.
Build business-facing dashboards and reports in Tableau and Advanced Excel, enabling 20+ stakeholders to track forecast accuracy, simulation outcomes, and data health metrics.
Collaborate closely with Product, Engineering, and Client-facing teams to translate business requirements into scalable, production-ready analytics solutions.

Python (Programming Language)Pandas (Software)SQLTableauAdvanced ExcelData Science+1

Elv8 apparels

Founder

Jul 2023 – Jun 2024 · 11 mos · Bengaluru, Karnataka, India · Remote

Launched and managed ELV8 Apparels, a small D2C clothing brand focused on minimal streetwear.
Handled end-to-end operations — product sourcing, catalog creation, pricing, and order fulfilment.
Managed branding, social media presence, and customer engagement.
Ran small-scale experiments on product selection, customer retention, and content strategy.
Built hands-on experience with budgeting, vendor negotiation, quality checks, and marketing workflows.
Gained exposure to product thinking, user feedback loops, and iterative improvements — foundation for product roles.

Business OwnershipRequirements AnalysisProduct Management

Cognizant

Business Analyst

Jan 2022 – Jun 2023 · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

As a Business Analyst at Cognizant, I worked on enabling data-driven business operations by automating data workflows, validating large datasets, and ensuring reliable reporting across logistics and supply chain systems.
Key Responsibilities & Contributions:
Translated business and operational requirements into SQL-based data extraction, validation, and reconciliation workflows across multiple systems.
Developed and optimized SQL queries to analyze shipment and operational data, ensuring consistency and accuracy of business metrics.
Automated data reprocessing and validation workflows using Postman and REST APIs, reducing manual intervention by ~40%.
Streamlined daily reporting and data uploads using Advanced Excel automation and SOAP UI, ensuring high-quality, client-facing deliverables.
Monitored system performance and data issues using Kibana, identified recurring errors, and contributed to reducing operational downtime by ~15%.
Validated KPIs and business metrics, maintaining ~99% data accuracy across critical reporting and analytics pipelines.
Collaborated with cross-functional teams (business, operations, and technical stakeholders) to improve data quality, reporting reliability, and analytics readiness.