---
title: "Akshay Tiwari - Associate Data Analyst in Indore | Tal"
description: "Meet Akshay Tiwari, Data Analyst | Turning Raw Data into Decisions That Drive Revenue | Excel • SQL • Python • Power BI | EDA • Dashboarding • KPI-Based Reporting based in Indore."
image: "https://tal.club/meet/akshay-tiwari-1/share-image"
---

# Akshay Tiwari on Tal

## Headline

Data Analyst \| Turning Raw Data into Decisions That Drive Revenue \| Excel • SQL • Python • Power BI \| EDA • Dashboarding • KPI\-Based Reporting

## About

Data Analyst with hands\-on experience in SQL, Python, Power BI, and Excel, specializing in exploratory data analysis, KPI tracking, and business reporting\. Experienced in analyzing structured datasets \(10K\+ records\), identifying trends, performance patterns, and key metrics to support operational and strategic decision\-making\. Skilled in data cleaning, transformation, SQL querying, and building interactive dashboards that enhance reporting efficiency and provide clear, insight\-driven visibility into business performance Open for work opportunities in indore or remote\.\.

## Location

Indore

## Work experience

Associate Data Analyst at RAM Antivirus, Jan 2025 \- Jun 2025 · 6 mos, Jalgaon, Maharashtra, India, Analyzed 10K\+ security log records using SQL and Python \(Pandas, NumPy\) to identify anomalies, threat patterns, and system vulnerabilities\. Built interactive Power BI dashboards tracking 10\+ cybersecurity KPIs \(incident frequency, response time, threat categories\), improving monitoring visibility by 30%\. Performed exploratory data analysis \(EDA\) using Pandas, Matplotlib, and Seaborn to uncover trends and support AI\-based anomaly detection initiatives\. Prepared cleaned and structured datasets for machine learning models using Scikit\-learn, contributing to an 18% improvement in anomaly detection accuracy\. Conducted data cleaning, transformation, and log normalization, reducing false\-positive alerts by 20%\. Collaborated with IT and security teams to convert analytical findings into actionable intelligence reports for risk mitigation and decision\-making\.

Artificial Intelligence Intern at All India Council for Technical Education \(AICTE\), Jun 2024 \- Sep 2024 · 4 mos, Remote, AICTE Virtual Internship in Artificial Intelligence & Machine Learning, focused on developing strong theoretical depth and applied understanding of intelligent systems\. Worked with Python and core libraries including Pandas, NumPy, Matplotlib, and Scikit\-learn to implement end\-to\-end ML workflows — covering data preprocessing, feature engineering, model selection, training, validation, and performance evaluation\. Studied and implemented supervised and unsupervised learning techniques such as Linear & Logistic Regression, Decision Trees, KNN, and Clustering, along with evaluation metrics including Accuracy, Precision, Recall, F1\-score, and Confusion Matrix\. The internship strengthened my understanding of model optimization, bias\-variance tradeoff, and practical AI problem\-solving approaches, enabling me to connect machine learning concepts with real\-world analytical use cases\.

## Education

Master of Computer Applications \- MCA, Medicaps university

Bachelor of Computer Applications, Devi Ahilya Vishwavidyalaya \(DAVV\), Indore

[View the original profile](https://tal.club/meet/akshay-tiwari-1)

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