Data Analytics Portfolio

Turning Data into Insights

Vanisha Sharma — B.Tech CS (MPSTME)

I build end-to-end analytics pipelines — from data wrangling and EDA to interactive dashboards and actionable recommendations that drive data-informed decisions.

Analytics Engine v2.0

Variance

0.042

Confidence

95.4%

Velocity

12.8x

Growth

+32%

Accuracy

99.1%

0+

Datasets Analyzed

0+

Dashboards Built

0+

Insights Generated

0+

Tools Mastered

Data Expertise

Proficiency across core analytics competencies — from data wrangling and statistical analysis to visualization and production tooling.

Expertise

Programming

Python85%
SQL80%
JavaScript70%
Java65%

Expertise

Visualization

Matplotlib82%
Seaborn78%
Pandas Plotting80%
Dashboard Design72%

Expertise

Analytics

Data Cleaning88%
EDA85%
Statistical Analysis75%
Feature Engineering78%

Expertise

Tools & Databases

Pandas / NumPy85%
Scikit-learn80%
MySQL78%
Jupyter / Colab90%

Education

MPSTME, NMIMS University

B.Tech in Computer Science · 2023 - Present

CGPA: 3.0 / 4

Shri Sathya Sai Vidhya Vihar, Indore

CBSE Class XII · 2021

76%

Shri Sathya Sai Vidhya Vihar, Indore

CBSE Class X · 2023

88%

Core Competencies

Data CleaningExploratory Data AnalysisStatistical ModelingSQL QueryingData VisualizationDashboard DesignETL PipelinesA/B TestingRegression AnalysisCustomer Segmentation

Analytics Case Studies

End-to-end data projects with problem statements, datasets, key findings, and business recommendations.

Explore All
PythonMLVisualization// 2023

Waste Dump Detection

Strategic Problem

Urban waste dumps are difficult to monitor at scale. Manual surveys are expensive and infrequent, allowing illegal dumping to go undetected.

Source Sentinel-2 multi-spectral satellite imagery (13 bands, 10m resolution) covering urban areas with labeled waste dump sites.

Key Strategic Insight

NDVI values below 0.15 strongly correlate with waste accumulation zones

Py
Sc
Ra
+3
Analyze
PythonMLVisualization// 2023

Network IDS

Strategic Problem

Network security teams need automated, real-time detection of malicious traffic patterns across diverse attack types to protect infrastructure.

Source CIC-IDS2017 — 2.8M+ labeled network flow records covering benign traffic and 7 attack categories (DDoS, brute-force, infiltration, etc.).

Key Strategic Insight

PCA reduced feature dimensionality from 78 to 20 while retaining 95% variance

Py
Sc
XG
+3
Analyze
PythonVisualization// 2023-2024

Cartoonization

Strategic Problem

Creative teams and content creators need automated tools to transform photos and video into stylized cartoon art at scale.

Source Custom image and video inputs processed in real-time through the OpenCV pipeline.

Key Strategic Insight

Bilateral filter sigma of 300 provides optimal color quantization without losing detail

Py
Op
Nu
+1
Analyze
Python// 2023-2024

MD to HTML

Strategic Problem

Developers and technical writers need reliable Markdown-to-HTML conversion that gracefully handles edge cases and malformed input.

Source N/A — parser operates on arbitrary Markdown text input.

Key Strategic Insight

Recursive-descent approach handles nested block elements more reliably than regex-based parsers

Ja
No
HT
+1
Analyze
SQLDashboard// 2023-2024

Food Ordering

Strategic Problem

Restaurants need a streamlined digital ordering system with reliable data management to replace error-prone manual order tracking.

Source Relational database with 6 normalized tables: Users, Menu, Orders, OrderItems, Payments, Reviews.

Key Strategic Insight

3NF normalization eliminated data redundancy and reduced storage by ~30%

My
No
HT
+2
Analyze

Interactive Dashboards

Mock dashboards showcasing data storytelling, KPI tracking, and business intelligence design skills.

Explore All
Business Intelligence

Sales Performance

Interactive dashboard tracking revenue, conversion rates, and regional sales performance with drill-down capabilities. Designed for executive-level reporting and quarterly reviews.

Total Revenue

$2.4M

+18%

Conversion Rate

3.2%

+0.5%

Avg. Order Value

$156

-2%

Active Customers

12.4K

+8%

PythonPandasMatplotlibSQL
Marketing

Marketing Analytics

Campaign performance tracker analyzing ROI, engagement metrics, and channel effectiveness across digital marketing initiatives.

Campaign ROI

340%

+45%

Click-Through Rate

4.8%

+1.2%

Cost per Lead

$24

-15%

Leads Generated

3.2K

+22%

PythonSeabornPandasSQL

Analytics Pipeline

A structured, end-to-end workflow for turning raw data into high-impact business recommendations.

Step 1

Data Collection

Gather raw data from APIs, databases, CSVs, and web scraping

Step 2

Data Cleaning

Handle missing values, outliers, duplicates, and type conversions

Step 3

EDA

Explore distributions, correlations, and patterns visually

Step 4

Modeling

Apply statistical models, ML algorithms, and hypothesis testing

Step 5

Visualization

Build charts, dashboards, and interactive data stories

Step 6

Business Insights

Translate findings into actionable recommendations

Career Journey

My professional journey in data analytics and software engineering — focusing on scalable solutions and data-driven impact.

// April 2026 - May 2026

Data Analytics Intern

Code Alpha

Incoming

Working on data analytics projects involving data cleaning, exploratory analysis, and visualization using Python-based data science tools.

// March 2026 - April 2026

Data Analytics Internship

Future Interns

Contributed to collaborative data analytics projects, performing data wrangling, building visualizations, and presenting insights to stakeholders.

Positions of Responsibility

NMMUN Rapporteur — UNHCR CommitteeGDSC EM OC MemberCore Member — LearnTech Club

Professional Certifications

Google Data Analytics Professional Certificate

Currently Pursuing

Vanderbilt Prompt Engineering Specialization

Completed

Complete SQL and Databases Bootcamp

Completed

Get In Touch

Have a data project, collaboration opportunity, or just want to connect? I'd love to hear from you.