Hi, I'm Ankush
BTech. AI&DS @ SIT Ichalkaranji
Paddling through the ocean that is Machine Learning.
Contact MeAbout Me
My Introduction
B.Tech student specializing in Artificial Intelligence and Data Science, with a strong foundation in data analysis, machine learning, and deep learning. Proficient in data visualization tools like Power BI and Tableau, I excel at transforming complex datasets into actionable insights. My skill set includes statistical analysis, predictive modeling, and proficiency in Python, R, and SQL for data manipulation and analytics. I am passionate about leveraging data-driven solutions to solve real-world problems.
Completed
Written
Papers
Skills
My Technical LevelData Science
All About Data SciencePython
90%R
80%Predictive Analytics
75%Feature Engineering
70%Data Integration
50%Statistical Analysis
70%Data Modeling
85%Perspective Analytics
70%Data Interpretation
70%Data Cleaning
90%Machine Learning
Prediction with MLML Algorithms
90%Model Selection
90%Model Training
70%scikit-learn
85%Evaluation
70%Performance Optimization
85%Hyperparameter Tuning
55%Model Deployment
65%Ensemble Methods
65%Decision Trees
60%Linear & Logistic Regression
80%Data Augmentation
70%Validation & Testing
40%Deep Learning
Networks, LayersLoss Function
95%Activation Functions
95%Ensemble Models
90%Neural Networks
85%Convolutional Neural Networks
80%Recurrent Neural Networks
60%Computer Vision
75%Natural Language Processing
65%OpenCV
90%Batch Normalization
70%Dropout & Regularization
55%Data Analytics
Insights & PatternsData Transformation
85%ETL
75%Descriptive Analytics
70%Predictive Analytics
40%Perspective Analytics
60%Data visualization
90%Reporting
40%Data Visualization
Wow! FactorSeaborn
85%Matplotlib
75%Dashboards
80%Tableau
85%Power BI
80%MS Excel
90%Qualification
My Personal JourneyBachelor of Technology in Artificial Intelligence & Data Science
Sharad Institute of Technology & College of Engineering, IchalkaranjiHigher Secondary in Science
Shri. Shahu Junior College, KagalSSC & Highschool
Shrimant Jaysingrao Ghatge Highschool, KagalPrimary
Srimant Sirpirajirao GHatge, Highschool, KagalComputer Vision Engineer
Racksons IT Developers , Pune
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• As a Computer Vision Engineer, developed and optimized algorithms for image recognition and object detection, enhancing accuracy by 20% using deep learning frameworks like TensorFlow and OpenCV.
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• Designed and implemented end-to-end computer vision solutions for real-time video analysis, improving system performance and scalability for various applications.
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• Designed and implemented interactive dashboards using Power BI, SSRS, and related technologies, translating complex data into actionable insights for informed decision-making.
AIML Intern
Project Planners Corp.
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• As an AI/ML Intern, I developed and implemented machine learning models for predictive analysis, enhancing accuracy by optimizing algorithms and data preprocessing techniques.
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• I also conducted exploratory data analysis to identify key trends and patterns, supporting data-driven decision-making.
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• Utilized statistical models and data visualization techniques to identify trends, patterns, and insights.
AIML Intern
AICTE (AWS Academy)
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• Developed a robust recommendation system for an e-commerce company using Python and its associated data science libraries, including Pandas, NumPy, and Scikit-learn.
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• Utilized advanced recommendation algorithms such as collaborative filtering, content-based filtering, and hybrid methods to deliver personalized product recommendations to millions of customers and used Tableau for data visualization and reporting to make insights easily understandable for stakeholders.
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• Leveraged cutting-edge techniques such as dimensionality reduction and hyper parameter tuning for data preprocessing, feature engineering, and model selection, and utilized Apache Spark and Tensor Flow for distributed computing and deep learning to handle massive amounts of data.
Portfolio
My Projects
Customer Segmentation Clustering
Uncovering Customer Groups through Data-Driven Clustering Techniques
Implemented clustering algorithms to segment customers based on purchasing behaviors.
Analyzed customer data to identify key groups for targeted marketing strategies.
Visualized segmentation results using Python, providing actionable insights for business decisions.
Tech Stack
Apriori Association Mining
Applied Apriori algorithm to find frequent patterns in large transaction datasets.
Identified association rules to uncover hidden relationships between purchased items.
Used support, confidence, and lift to evaluate and optimize business decisions.
Tech Stack
HR Data Analytics using Tableau
Transforming HR Analytics with Interactive Dashboards and Insights
Visualize HR metrics for data-driven decision making.
Analyze employee trends to enhance workforce management.
Identify key insights from HR data efficiently.
Tech Stack
Research Papers Referred
HR Analytics and its Impact on Organizations Performance
Bridging the gap: why, how and when HR analytics can impact organizational performance
Exploratory Data Analysis on Brain-stroke Data
Uncovering Insights from Stroke Data
Analyzed stroke data to identify key risk factors.
Visualized patterns in stroke prevalence across demographics.
Explored correlations between lifestyle factors and stroke.
Tech Stack
Research Papers Referred
Stroke prediction through Data Science
Stroke Prediction using Optimization and Exploratory Data Analysis
HealthCare Dashboard using PowerBI
Empowering Healthcare Decisions with Data-Driven Dashboards
Visualize healthcare data trends with interactive PowerBI dashboards
Analyze patient metrics to enhance healthcare decision-making.
Monitor key performance indicators in real-time.
Tech Stack
Research Papers Referred
View Dashboard
EDA on Fifa 23 Leagues
Data-Driven Insights into FIFA 23 Leagues
Explored league statistics to identify key performance trends and patterns.
Analyzed player attributes across leagues to compare skill distributions.
Visualized data insights using Python libraries for clear, impactful storytelling.
Tech Stack
Research Papers Referred
View Code
Predicting Future of Software Engineers using Linear Regression
Data-Driven Career Predictions for Software Engineers
Analyzed historical data of software engineers to predict future trends.
Utilized linear regression models to forecast career growth and salaries.
Identified key factors influencing software engineering job market dynamics.
Tech Stack
India's Startup Ecosystem Analysis
Exploring Growth Trends and Opportunities in India's Startup Landscape
Analyzed startup growth trends across various sectors in India.
Identified key factors driving success and challenges in startups.
Visualized data to highlight opportunities and investment potential
Tech Stack
An Analysis and Prediction System for IPL Auction
Analyzed historical player data to identify key performance indicators for the auction.
Developed predictive models to forecast player valuations and team strategies effectively.
Created interactive charts to visualize auction trends and optimize decision-making processes.
Tech Stack
BTC Prediction Model Using Linear Regression
Forecasting Bitcoin Prices with Linear Regression: A Data-Driven Approach
Developed a linear regression model to predict Bitcoin prices using historical data.
Analyzed key market features to identify trends impacting Bitcoin price movements.
Evaluated model performance using error metrics to optimize prediction accuracy.
Tech Stack
Healthcare Analytics and Prediction For Stroke
Leveraging Machine Learning for Early Stroke Detection and Risk Assessment
Analyzed healthcare data to identify key risk factors associated with stroke outcomes.
Developed predictive models using machine learning to forecast stroke risk accurately.
Visualized trends and insights to support data-driven healthcare decisions and interventions
Tech Stack
Disaster AI Insight
Leveraging AI for Predictive Analysis and Response Planning in Disasters
Utilizes AI and machine learning to predict and analyze disaster impacts effectively.
Develops data-driven models for enhancing disaster preparedness and response strategies.
Creates visual dashboards to provide real-time insights for decision-makers during disasters.
Tech Stack
Blog
My Technical Articles
The Rise of Generative AI: How Machines Are Learning to Create
From art and entertainment to healthcare and finance, this powerful technology is opening up new possibilities and challenging our understanding of creativity and intelligence. However, with great power comes great responsibility.
Read it!
From Zero to Data Science: A Non-Linear Path to Success
Transitioning from zero to data science is not a linear journey, and that’s perfectly fine. Each step, whether it’s mastering the basics, gaining practical experience, or learning advanced machine learning techniques, adds a valuable piece to the puzzle.
Read it!
How to Build a Data Science Portfolio : That Gets You Noticed
A well-crafted data science portfolio can be the key to getting noticed by recruiters and hiring managers. A portfolio not only showcases your skills but also demonstrates your ability to apply them to real-world problems. Whether you’re a beginner or looking to make a career switch, this guide will walk you through how to build a data science portfolio that catches the eye of potential employers.
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The Hidden Data Stories: Uncovering Insights Beyond the Obvious
Data is more than just numbers; it’s a rich source of stories waiting to be told. By looking beyond the obvious and employing advanced techniques, we can uncover hidden insights that drive meaningful change.
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Data Analytics in 2024: Trends, Tools, and Techniques You Need to Know
As we progress through 2024, the landscape of data analytics continues to evolve with new trends, tools, and techniques that are shaping the future of the field. From AI-driven insights and real-time analytics to enhanced data privacy and responsible AI, the world of data is expanding at an unprecedented pace. To stay competitive, organizations and professionals must adapt to these changes, embrace new technologies, and continuously upskill.
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Breaking Down Deep Learning: How Neural Networks Mimic the Human Brain
Deep learning is a fascinating field of artificial intelligence (AI) that has gained significant attention over the past decade. It has powered breakthroughs in image recognition, natural language processing, speech recognition, and more. But what exactly is deep learning, and how do neural networks mimic the human brain to perform these complex tasks?
Read it!