Data Analysis and Visualization Dashboard Development Machine Learning and AI Exploring real-world datasets
SAYALI SUBHASH MADHAVI
Data Anlaytics
Kharghar
Summary
Detail-oriented and highly motivated aspiring Data Analyst with hands-on experience in data analysis, data cleaning, and visualization using Python, SQL, Excel, Power BI, and Tableau. Completed a comprehensive six-month course in Big Data technologies, Hadoop, and data pipelines, followed by a two-month internship where I managed real-world datasets. Currently enhancing my expertise in machine learning, statistical analysis, and predictive modeling through an AI and Data Analytics course. Strong ability to analyze both structured and unstructured data, generate actionable insights, and create impactful dashboards to support informed business decision-making. Actively seeking an entry-level Data Analyst role to leverage analytical skills and contribute to organizational growth.
Overview
5
5
years of professional experience
3
3
Certifications
3
3
Languages
Work History
Data Analytics Internship
Krutanic
02.2025 - 04.2025
- Successfully completed a 2-month internship focused on data analytics. Demonstrated diligence, consistency, determination, and innovation while working on analytical tasks and projects.
Intern
Reliance Industries Ltd, NMD
02.2023 - 03.2023
Intern – Reliance Industries Limited (NMD) – 1 Month
- Assisted in activity checklist monitoring and operational process tracking.
- Learned organizational workflow, SOPs, and corporate operational procedures.
Online Course
Sprk Technology
05.2020 - 06.2020
Machine Learning Crash Course - Online (1 Month)
- Learned fundamental machine learning concepts, including regression and classification algorithms.
- Gained an understanding of data preprocessing, model training, and evaluation techniques.
- Built simple machine learning models.
Education
Bachelor of Engineering - Information Technology
Smt. Kashibai Navale College of Engineering Pune
Pune, India 04.2001 -
Diploma - Information Technology
Institute Of Petrochemical Engineering, Lonere, Raigad
Lonere, Maharashtra04-2021
Skills
HTML and CSS proficiency
Proficient in VS Code
Experienced in Python programming
Hadoop data processing
Excel data analysis expertise
Power BI data visualization
Data analysis and visualization
MySQL database management
Dashboard creation skills
Certification
Poster Presentation – Sinhgad Technotic 2024
Interests
Timeline
Data Analytics Internship
Krutanic
02.2025 - 04.2025
Intern
Reliance Industries Ltd, NMD
02.2023 - 03.2023
Online Course
Sprk Technology
05.2020 - 06.2020
Bachelor of Engineering - Information Technology
Smt. Kashibai Navale College of Engineering Pune
04.2001 -
Diploma - Information Technology
Institute Of Petrochemical Engineering, Lonere, Raigad
COURSE
- Big Data
- Key Topics: Hadoop, PySpark, Hive, MapReduce, HDFS, SQL, Data Pipeline Design, Data Analysis, and Visualization.
- Duration: Feb 2025 – August 2025
- Pursuing a 6-month professional training program in Big Data.
- Hands-on exposure on Hadoop, PySpark, Hadoop, MapReduce, HDFS, SQL, Data pipeline design.
Projects
AWS Data Pipeline
- Validate the Sources
-Start an EMR Cluster and wait for it Switch on
-Once EMR Cluster is started - Open Pyspark Shell
- Develop s3 job and put the Code to Intellij
-Develop Snowflake job and put the code to Intellij
-Develop Master job and put the code to Intellij
-Convert all the jobs to pyfiles and upload to AWS S3
-Test every Pyfile using EMR Step Execution
-Design an Airflow DAG file and upload to DAGs Folder
-Trigger the Run using AIRFLOW
Sports Management System
Developed a web-based platform to manage and track sports events, registrations, and schedules. Enabled both admin and user functionalities for efficient event handling and result tracking.
-Tech Used: HTML, CSS, JavaScript, Bootstrap, PHP, Node.js, MySQL
-Impact: Increased event organization efficiency by 40%
Image Forgery Detection and Person Identification System
Designed a system combining Convolutional Neural Networks (CNN) and Haar Cascade classifiers to detect image manipulation and identify individuals in digital images. The approach enhances accuracy in face detection and image forgery detection, offering real-time performance with scalable deep learning techniques.
-Tech Used: CNN, Haar Cascade, Deep Learning, Image Processing
-Applications: Digital forensics, identity verification, security systems