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Srashti

Srashti

Data Analyst

Bangalore
80
Profile Score

About

Results-driven Data Analyst and aspiring Data Engineer with hands-on experience in SQL, Python, and cloud-based data workflows. Skilled in data pipeline development, ETL processes, data extraction, transformation, and visualization. Google Cloud Certified with foundational experience in BigQuery and GCP services. Strong background in exploratory data analysis (EDA), data cleaning, KPI reporting, and dashboard development. Transitioning from a technical support background, bringing proven problem-solving, process optimization, and cross-functional collaboration skills.

Skills & Expertise (41)

SQL Intermediate
7.8/10
1
Years Exp
ETL Pipeline Development Intermediate
7.4/10
1
Years Exp
Python Intermediate
7.3/10
1
Years Exp
Power BI Intermediate
7.1/10
1
Years Exp
Pandas Intermediate
6.8/10
1
Years Exp
Data Visualization Intermediate
6.8/10
1
Years Exp
Data Modeling Cross-Functional Collaboration Data Ingestion Batch Processing Schema Design Data Transformation Exploratory data analysis Hypothesis Testing correlation analysis Regression Analysis Dashboard Development KPI Reporting Business Analytics Analytical Thinking Problem Solving Communication Process Optimization BigQuery NumPy Matplotlib Seaborn Joins Subqueries Window Functions CTEs Google Cloud Platform Data Pipelines Cloud Storage Data Warehousing Microsoft Excel Advanced Formulas Pivot Tables VLOOKUP Tableau Google Colab

Work Experience

Technical Support Representative

Kyndryl

Nov 2022 - Present

Designed and maintained ETL workflows using SQL and Python to extract, transform, and load data from system logs and operational reports, reducing issue resolution time by 15%. Built and automated data pipelines to consolidate operational data from multiple sources, ensuring data accuracy, consistency, and availability for reporting. Developed interactive Excel and Power BI dashboards to monitor KPIs and track performance metrics, enabling data-driven decision-making for stakeholders. Conducted exploratory data analysis (EDA) on large structured datasets to identify trends, anomalies, and actionable insights for cross-functional teams. Automated repetitive reporting tasks using Python scripts and Excel functions, improving data processing efficiency and reducing manual effort by significant margins. Performed data validation, data cleaning, and schema standardization across datasets to ensure high data quality for downstream analytics and reporting.

Education

Data Science and Machine Learning - Scaler Academy

- 2026 · Afghanistan

Bachelor of Commerce (B.Com) - Vikram University

- · Afghanistan

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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 5/15
💰 Rate 0/5
🏆 Certs 0/5
Verified 5/5
Total Score 80/100

Profile Overview

Member sinceMar 2026

Skills (41)

SQL ETL Pipeline Development Python Power BI Pandas Data Visualization Data Modeling Cross-Functional Collaboration Data Ingestion Batch Processing +31 more