Analyst || Orchestrating Data, Risk Management & Cloud Technology || Audit Engagement
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As an Analyst, I focus on ELT/ETL processes, data engineering, and analytics to deliver accurate and actionable insights. My role bridges technology with business needs, driving secure, efficient, and scalable solutions. I actively contribute to risk management, cloud solutions, and cybersecurity while ensuring smooth collaboration with stakeholders to create measurable value.
DataTrained
Postgraduate Degree, Data science [ Data Engineering ]
November 1, 2021 – January 1, 2023
Databricks
Certificate
N/A – Present
Rajiv Gandhi Prodyogiki Vishwavidyalaya
Bachelor of Engineering - BE
N/A – Present
KPMG
Analyst & ETL/ELT Developer | Orchestrating Data, Digital Risk Management & Cloud Technology
September 1, 2025 – Present
Mumbai · On-site
Dhruva Advisors LLP
Data Engineer
November 1, 2023 – February 1, 2025
Mumbai, Maharashtra, India · Remote
SculptSoft Private Limited
Associate Data Analyst
June 1, 2023 – November 1, 2023
Ahmedabad, Gujarat, India · On-site
Flip Robo Technologies LLC
Data Science project intern AND PG Certification from DATA TRAINED EDUCATION PRIVATE LIMITED
April 1, 2022 – June 1, 2023
Bengaluru, Karnataka, India
CAR PRICE PREDICTION
July 1, 2022 – September 1, 2022
DOMAIN - With The Covid 19 Impact In The Market We Have Seen A Lot Of Changes In The Car Market. Now Some Cars Are In Demand Hence Making Them Costly And Some Are Not In Demand Hence Cheaper. We Have To Make A Car Price Valuation Model. TECH STACK - Python , Machine Learning , Jupyter Notebook FEATURES- Machine Learning Models [ Linear Regression, Decision Tree Regressor , K Neighbors Regressor, Gradient Boosting Regressor , SVR , Lasso Regression , Train Test Split , R2 Score, Grid Search CV, Cross Validation Score , Hyper Parameter Tuning] RESULT - Best Cv Score Is For The Gradient Boosting Regressor With 62 % .
Big Data Mart Sales Problem
April 1, 2022 – May 1, 2022
Big Data Mart Sales Problem DOMAIN- The data scientists at Big Mart have collected 2013 sales data for 1559 products across 10 stores in different cities. The aim is to build a predictive model and find out the sales of each product at a particular store. TECH STACK- : Python , Machine learning , jupyter notebook FEATURES - Univariate analysis, bivariate analysis and multivariate analysis , Machine learning algorithm like decision tree classifier, k-nearest neighbor , support vector machine , Ensemble technique random forest classifier and Ada boost classifier, linear regression , logistic regression and gradient boosting technique. RESULT- best cv score is for the gradient boosting regressor with 62 %.
Generative AI, ChatGPT, Copilot & AI Agents Masterclass 2025
Udemy
June 25, 2026 – Present
PG program in data science and neural network
Mahadev
June 25, 2026 – Present
Full Stack Big Data
Mahadev
June 25, 2026 – Present
project completion certificate
Mahadev
June 25, 2026 – Present
NLP - Natural Language Processing with Python
Udemy
June 25, 2026 – Present
SQL - MySQL for Data Analytics and Business Intelligence
Udemy
June 25, 2026 – Present
Microsoft Azure
Udemy
June 25, 2026 – Present
Power BI - Business Intelligence for Beginners to Advance
Udemy
June 25, 2026 – Present
Alteryx for Accounting: Automate, Analyze, Accelerate
Udemy
June 25, 2026 – Present
Machine Learning, Data Science and Generative AI with Python
Udemy
June 25, 2026 – Present
Academy Accreditation - Databricks Fundamentals
Databricks
June 25, 2026 – Present
Introduction to Auditing AI Systems
June 25, 2026 – Present
AI Data Governance, Compliance, and Auditing for Developers
June 25, 2026 – Present
buisness analytics with tableau
Mahadev
June 25, 2026 – Present
NLP WITH MACHINE LEARNING
Mahadev
June 25, 2026 – Present
MACHINE LEARNING BASICS
Amazon Web Services (AWS)
June 25, 2026 – Present
Data Science Internship Certificate
EVOASTRA VENTURES PVT LTD
June 25, 2026 – Present
DATA ANALYTICS FUNDAMENTALS
Amazon Web Services (AWS)
June 25, 2026 – Present
The Complete Python Developer
Udemy
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has experience across different domains (tax compliance, sales, recruitment analytics) and has worked in both consulting (KPMG, Dhruva Advisors) and product-oriented (SculptSoft) environments. This diversity suggests adaptability. The numerous certifications indicate a proactive approach to learning and skill development, which aligns with a culture of continuous improvement. However, the target role is 'Computer Vision', which is not directly addressed by the candidate's current experience or projects. While there's a strong foundation in general machine learning and data engineering, specific computer vision expertise is lacking, which might impact immediate cultural fit for a specialized CV role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end data solutions, from data ingestion to visualization and model deployment. The focus on automation and efficiency suggests a results-oriented approach. However, without psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is not possible.