Alick Masih

Data Analyst & MIS Executive

Talent

GurgaonMember since September 4, 2026

Google SheetsPythonPandasNumPySQLPower BIExploratory Data Analysis (EDA)Machine LearningScikit-learnSeabornProcess Optimization

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Google SheetsPythonPandasNumPySQL

About

Detail-oriented Data Analyst & MIS Executive with hands-on experience in business background verification (BGV) data operations, reporting pipelines, and business intelligence. Proficient in Python, SQL, and Google Sheets to extract, clean, transform, and validate large volumes of structured verification records against client SLAs. Proven record of diagnosing workflow discrepancies, eliminating manual data handling errors, and engineering robust data pipelines that accelerate service delivery speed and enhance verification accuracy.

Strong foundation in exploratory data analysis (EDA), predictive modeling, and business process optimization.

Experience

Analyst - I - OnGrid - Gurugram, Haryana (Hybrid)

(2026-07)

Manage end-to-end data extracting workflows from relational databases using SQL, executing rigorous data cleaning and transformation for 45,000+ verification records monthly using Python (Pandas) and Google Sheets.
Direct daily data processing pipelines and execute data uploading of verified records into production systems, validating outputs against 10+ client SLA benchmarks.
Resolve high-volume record discrepancies and phonetic variations across intake channels by engineering custom lookup logic and dynamic formulas in Google Sheets, reducing manual reconciliation time by 45%.
Architect and maintain 4 operational MIS reports and Power BI tracking dashboards, providing executive leadership with real-time visibility into throughput velocity and turnaround times (TAT).
Partner with cross-functional operations and QA teams to identify workflow leakages, standardizing intake reporting templates to eliminate ingestion errors and optimize BGV turnaround.

Analyst Intern - OnGrid - Gurugram, Haryana (Hybrid)

(2026-02 - 2026-06)

Supported senior analysts by retrieving raw verification records across 3 relational databases using structured SQL queries.
Assisted in initial dataset audits and anomaly detection across 10,000+ candidate files using Google Sheets formulas and filtering techniques.
Monitored daily case queues and compiled summary tables to track operational turnaround metrics for internal review.
Participated in cross-team syncs to document intake discrepancies, verify source documentation, and format staging files for routine reporting workflows.