Machine Learning Data Analyst

SUMMARY

INTERNSHIP

EDUCATION

SKILLS

CERTIFICATIONS

Noida

****************@*****.***

DIKSHA KUMARI 620-***-****

Results-driven Data Analyst with a strong foundation in data visualization, database management, and predictive modeling. Proficient in Power BI, SQL, Advanced Excel, Python, and Machine Learning. Proven ability to translate complex data into actionable insights, highlighted by research in lung cancer disease prediction. Qspiders – Noida, India August 2025 – Present

Gaining hands-on experience in data analysis by applying skills in SQL, Python, Power BI, and Advanced Excel to real-world projects and case studies.

Extracted and manipulated data from relational databases using complex SQL queries, including JOINs and aggregate functions, to prepare data for analysis.

Utilized Python libraries such as Pandas and NumPy for comprehensive data cleaning, transformation, and exploratory data analysis (EDA).

Designed and developed interactive dashboards in Power BI to visualize key performance indicators (KPIs), transforming raw data into actionable insights.

Leveraged Advanced Excel features, including Pivot Tables and XLOOKUP, to perform in-depth data analysis and generate summary reports.

Tech Octanet Services Pvt. Ltd Aug-Oct 2024

Built an ATM Machine Simulation to demonstrate transaction processing and cash flow analysis.

Applied machine learning techniques for data pattern recognition and trend analysis.

Master’s in Computers Application

Bachelor of Business Administration

Data Analysis & Visualization(Power BI,

Excel, Matplotlib, Seaborn)

SQL for Data Management(Joins,

Aggregations, Window Functions)

Python for Data Processing(Pandas,

NumPy)

Machine Learning(Regression,

Classification)

Advance Excel(PivotTables,VLOOKUP,

Advanced Formulas)

Big Data Computing(NPTEL)

Data Analytics Intern

Python Developer Intern

Galgotia’s University (2023-2025)

Dev Bhoomi Uttarakhand University (2019-2022)

PROJECT

Sales Data Analysis & Dashboard

Used SQL to extract and analyze sales data for

retail company.

Created an interactive Power BI dashboard to

track revenue, sales trends, and customer

behavior.

Improved decision-making by identifying key

growth opportunities from sales data.

Lung Cancer Disease Prediction

using Machine Learning

Developed a lung cancer prediction model by

performing a comparative analysis of 10

machine learning algorithms following rigorous

data cleansing and EDA.

Assessed model performance through

confusion matrices and AUC-ROC curves, and

visualized results to select the top-performing

model.

Interpreted model behavior and feature

importance using advanced Explainable AI (XAI)

techniques like SHAP and LIME.

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