Mohammed Danish

Data Analyst

Hyderabad, India 4+ yrs exp 95 · Outstanding

About

Data Analyst with 4+ years of experience in SQL, Excel, Power BI, and Python. I gather requirements from Product, Marketing, and Operations teams and turn them into daily, weekly, and monthly reporting and dashboards for 50+ users. I write and optimize SQL against production databases, run data reconciliation and validation checks, and work with Data Engineers on schema and data availability. I cut reporting discrepancies by 30% and improved operational efficiency by 20%.

Skills & Expertise (48)

SQL Advanced

8.0/10

Years Exp

Power BI Advanced

8.0/10

Years Exp

Data Cleaning Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

DAX Intermediate

7.0/10

Years Exp

Power Query Intermediate

7.0/10

Years Exp

Git Intermediate

6.0/10

Years Exp

Azure Intermediate

5.5/10

Years Exp

AWS Intermediate

5.5/10

Years Exp

GPT APIs Root Cause Analysis A/B testing Trend Analysis Data Validation Data Reconciliation Missing Value Imputation duplicate detection Requirements Gathering Decision Tree Stakeholder Reporting SOP Documentation scikit-learn BeautifulSoup Web Scraping Logistic Regression K-Means Linear Regression Streamlit Joins CTEs Window Functions Stored Procedures Query Optimization MySql SQL Server Advanced Excel Pivot Tables Lookups Outlier Detection MIS Dashboards KPI Tracking Pandas NumPy Matplotlib Seaborn Exploratory data analysis Time-Series Analysis Anomaly Detection

Work Experience

Account Management Analyst (Spotify)

Sutherland Global Services

Sep 2023 - Present

Run the full operational reporting cycle. Gather requirements from Product, Marketing, and Operations stakeholders and turn them into analytical questions and reports. Deliver daily, weekly, and monthly MIS dashboard packages in Power BI and Streamlit for 50+ users. Track resolution time, escalation rates, and CSAT. Write and optimize SQL queries directly against database environments. Refactored slow legacy subqueries into CTEs and improved UAT data validation efficiency by 35%. Ran data reconciliation checks across separate tracking layers and traced discrepancies to their source. Cut reporting discrepancies by 30%. Work with Data Engineers on schema definitions and data availability for reporting. Automate data cleaning with Python scripts and Excel lookups. Handle missing values, duplicates, identifier checks, and outliers across time-series datasets. Handle customer data under governance rules, with sensitive fields masked. Ran financial and subscription-tier analysis, including A/B tests on pricing and offers, to measure revenue impact and give recommendations. Scraped competitor pricing and subscription data with BeautifulSoup for rate comparison on client offers. Use GPT and Claude APIs with prompt engineering to speed up ad-hoc summaries and reports. Act as SME for processes and tools. Wrote SOPs and user documentation for 50+ cross-functional stakeholders.

Data Science Intern

SaiKet Systems

Aug 2025 - Oct 2025

Built and evaluated machine learning models on real-world datasets, including data cleaning, feature engineering, and EDA. Applied supervised learning and data modeling, and presented findings through visualizations for business stakeholders.

Associate – Operations & Reporting

Startek Aegis

Feb 2022 - Aug 2023

Promoted to L2 (Backend) within 6 months for analytical performance on high-impact customer transactions. Pulled and analyzed operational data with SQL (filters, aggregations) to track agent performance, SLA adherence, and ticket volumes. Used outlier detection and time-series trend monitoring to find recurring escalation patterns. Reduced repeat operational issues by 15%. Built weekly KPI dashboards in Excel and Streamlit for leadership teams.