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Akshay Tiwari

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

Indore

< 1 year of work experience

RAM Antivirus
Jan 20256 mosJun 2025

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.
All India Council for Technical Education (AICTE)
Jun 20244 mosSep 2024

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

Medicaps university

Master of Computer Applications - MCA

Medicaps university

20232 yrs2025
Devi Ahilya Vishwavidyalaya (DAVV), Indore

Bachelor of Computer Applications

Devi Ahilya Vishwavidyalaya (DAVV), Indore

20203 yrs2023

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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