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Srishti Siriya

Srishti Siriya

Data Analyst

Nagpur, Maharashtra, India 1+ yrs exp 82 · Excellent

About

Data Analyst with 1.5 years of experience delivering analytics solutions for retail, FMCG, and e-commerce. Proficient in SQL, Python, Power BI, ClickHouse and Grafana, building automated dashboards and data pipelines that transform data from 30+ source systems into actionable business insights.

Skills & Expertise (38)

Power BI Advanced
8.1/10
1.5
Years Exp
Excel Advanced
8.0/10
1.5
Years Exp
Analytical Problem-Solving Advanced
8.0/10
1.5
Years Exp
Communication Advanced
8.0/10
1.5
Years Exp
SQL Advanced
8.0/10
1.5
Years Exp
DAX Intermediate
7.6/10
1.5
Years Exp
Python Intermediate
7.5/10
1.5
Years Exp
Google BigQuery Intermediate
7.0/10
1.5
Years Exp
Tableau Intermediate
6.5/10
1.5
Years Exp
AWS Intermediate
6.5/10
1.5
Years Exp
Docker Intermediate
5.5/10
1.5
Years Exp
EC2 Adaptability Google Cloud BigQuery Cloud functions Apache Airflow MS Office Google Sheets DBeaver GitHub Professional integrity collaboration S3 Redpanda Kafka Mixpanel GA4 scikit-learn NumPy Pandas Azure SQL Server ClickHouse Postgresql Apache Superset Grafana Redash Metabase

Work Experience

Data Analyst

Delphi Analytics

Jul 2025 - Present

Designed and deployed production BI infrastructure — Apache Superset dashboards (Sales, Marketing, Geo, PG, Coupon), a multi-org Grafana application with per-team access control, and Power BI dashboards with DAX measures and version-controlled PBIX development (unpacked folder pattern) bridging PostgreSQL and ClickHouse via Power BI Gateway — enabling real-time, unified visibility across E-Com, Retail, EBO, and GT channels for executive stakeholders. Reduced manual MIS reporting effort by 80+ hours/month by building automated dashboards, scheduled email/PDF report generation, and alerting systems, while optimizing data models and queries to improve reporting accuracy, dashboard performance, and analytical responsiveness for cross-functional teams. Delivered end-to-end production analytics for an FMCG brand, tracking revenue across thousands of transactions and orders and generating scheduled daily sales, inventory ageing, weekly slow-moving, stockout prediction, ABC classification, cohort retention, and vendor scorecard reports — driving data-informed merchandising decisions. Built an RFM customer segmentation model using scikit-learn KMeans clustering that identified the top 20% of customers generating 70–80% of revenue, enabling targeted retention and upsell strategies. Built a demand forecasting suite with 7-model comparison, reorder point calculation, and safety stock modeling, delivering actionable inventory planning recommendations to operations teams through close collaboration with cross-functional stakeholders.

Education

B.Tech. in Electronics and Telecommunication Engineering - Priyadarshini College of Engineering

2021 - 2025 · Afghanistan

Certifications

No certifications added yet

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Profile Score Breakdown

📷 Photo 10/10
📄 Resume 10/10
💼 Job Title 10/10
✍️ Bio 10/10
🛠️ Skills 20/20
🎓 Education 10/10
⏱️ Experience 7/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 82/100

Profile Overview

Member sinceAug 2026

Availability Details

Visa Status

Citizen

Relocation

Open to Relocation