Ankit Aggarwal
Aspiring software engineer with a strong foundation in computer science and chemical engineering, seeking an entry-level position to leverage my technical skills and professional experience in a dynamic organization.
Ankit Aggarwal
Github
Ankit Aggrawal
About Me
I am Ankit Aggarwal, an aspiring software engineer with a strong foundation in computer science and chemical engineering. I graduated from the Manipal Institute of Technology with a Bachelor of Technology in Chemical Engineering and a minor in Fundamentals of Computing. My academic journey equipped me with a comprehensive understanding of both disciplines, achieving a CGPA of 8.53. This blend of knowledge has prepared me to tackle complex technical challenges effectively.
In my professional experience, I have worked as a Data Science Intern at BEPEC Solutions and as a Data Analyst Intern at Pitambar Publishing House. At BEPEC Solutions, I led multiple high-impact projects, such as developing a facial recognition system with 98% accuracy and a customer churn classification model that reduced churn by 15%. At Pitambar Publishing House, I managed data cleansing and exploratory data analysis for over 500,000 entries, contributing to a 20% improvement in sales forecasts. These roles have honed my technical and analytical skills, enabling me to drive significant business improvements.
Additionally, I have a strong passion for teaching and mentoring, demonstrated through my role as a Teaching Assistant Intern at Coding Ninjas, where I helped over 200 students excel in data science and machine learning. My technical expertise spans programming languages like Python, C/C++, and SQL, and frameworks such as React, Flask, and Hadoop. I am also proficient in using developer tools like Git, Docker, and Kubernetes, and cloud platforms including Google Cloud Platform and Amazon SageMaker. With certifications in various domains and research publications on IoT and machine learning, I am committed to continuous learning and contributing to innovative projects in a dynamic organization.
Career Objective
Aspiring software engineer with a strong foundation in computer science and chemical engineering, seeking an entry-level position to leverage my technical skills and professional experience in a dynamic organization.
Resume
Work Experience
Data Science Intern:
BEPEC Solutions, Bangalore, Karnataka
October 2022 – Present
Projects Undertaken:
- Facial Recognition Biometric for a Pharmaceutical Company: Created an AI system to secure an area for top executives, achieving 98% accuracy by developing a convolutional neural network model and handling over 10,000 images for data cleaning, preprocessing, and deployment.
- Customer Churn Classification and Recommendation System for Standard Bank in Mozambique: Reduced churn by 15% by classifying over 5,000 customers and providing targeted recommendations. Managed data cleaning, preprocessing, and built a recommendation system using collaborative filtering and RBMs.
- Ticket Data Classification for a Service Company: Improved complaint handling efficiency by 20% by classifying 2,000+ ticket text data using Natural Language Processing techniques, naive Bayes, neural networks, and support vector machines.
- Time Series Forecasting for Demand of Beers for a Liquor Company: Enhanced production planning by 10% by predicting beer demand using time series models, analyzing three years of data, and tuning parameters to handle seasonality and trends.
- Predictive Maintenance: Prevented over $50,000 in damage by predicting machine failure time with 95% accuracy. Contributed to model building, classification, and worked with 1,000+ images for data resizing and modeling.
Data Analyst Intern:
Pitambar Publishing House, Delhi, India
Dec. 2021 – July 2022
- Cleansed and organized over 500,000 data entries, enhancing data accuracy and accessibility.
- Conducted Exploratory Data Analysis (EDA) on 3 years of book sales data using SQL and Python, identifying 15% potential growth areas.
- Contributed to building a time series model in Python, resulting in a 20% more accurate forecast of book sales, supporting key production decisions.
- Created dynamic dashboards that provided real-time insights, leading to a 10% increase in sales revenues.
Teaching Assistant Intern:
Coding Ninjas, Delhi, India
May 2021 – Sep. 2021
Course: Data Science And Machine Learning
- Graded over 200 weekly quizzes, homework, and assignments, providing individual feedback that helped improve student performance by an average of 15%.
- Conducted daily doubt sessions, clarifying more than 500 student queries over the internship period, enhancing overall class comprehension.
- Analyzed the performance of 30+ students and wrote detailed reports, resulting in a 10% improvement in lesson efficacy through tailored recommendations.
Projects
Borrower Classifier:
Python, Flask, HTML, CSS, JavaScript, Docker, Git
June 2020
- Conducted EDA on 10,000+ customer data, removing unwanted features and filling missing data.
- Utilized Logistic Regression, Naive Bayes, and Decision Trees to develop a borrower classification model, achieving 91% accuracy.
- Built a full-stack web application, improving digitization and focused marketing by 20%.
Fruit Detector:
Python, YOLOv4, OPENCV, Git
Nov. 2020
- Manually created and annotated a dataset using 1,500+ images.
- Developed and customized a YOLOv4 Object Detector, achieving 85% accuracy and enhancing detection speed by 30%.
Recommendation System:
Python, Streamlit, Pandas, NumPy, Seaborn, Matplotlib, gensim, Scrapy
Oct. 2020
- Designed a content-based recommendation system for an E-Commerce platform, improving user engagement by 25%.
- Scraped and analyzed data for 5,000+ products, achieving a 15% increase in user interaction.
Resume Parser:
Python, Spacy, TIKA, Streamlit, GCP
Sep. 2020
- Built a resume parser to process 2,000+ online resumes, improving processing time by 40%.
- Utilized lemmatization, tokenization, NER, and OCR techniques, and deployed the model on Google Cloud Platform.
Courses And Certifications:
- Courses: Introduction to Interactive Programming, Python Programming, Data Structures, Algorithms, Web Applications, Linux and Shell Scripting, Computational Methods, Engineering Maths, Problem Solving, Process Modelling and Simulation
- Certifications: Operating Systems: Virtualization and Concurrency, Grokking Computer Networking, Database Design Fundamentals, Introduction to SQL, Object-oriented programming in Python, Cloud Computing, Theory of Computation, Compiler Design, Discrete Maths
Research Publications
- IOT Based Privacy Preserving Machine Learning Algorithm for High-Speed Encryption, IOS Press Ebooks, Nov. 2022
- A Review on Machine Learning Techniques on IOT Based Privacy Preserving Network, IOS Press Ebooks, Nov. 2022
- Sentiment Analysis of Smartphone Reviews across Price Segments using Latent Dirichlet Allocation, Currently in publication process