Hi, my name is
Akshay Pandey.
I'm a passionate problem solver.
Welcome to my portfolio! With over 4 years of experience in Software Development and Data Science & Engineering, I bring a diverse skill set. From Application Development and Machine Learning Algorithms to Time Series Analysis and Advanced Statistics, I am well-equipped to handle complex data challenges. Holding a Master's degree in Engineering Science specializing in Data Science from the renowned State University of New York at Buffalo, I am a strong candidate for both Data Science and Software Engineering roles. Explore my portfolio to see the impactful projects I've delivered in the realm of data-driven solutions.
About Me
I proudly wear the hat of an experienced and passionate Software Engineer. You see, I have this unwavering fascination with technology and its magical ability to tackle real-world problems, armed with nothing but data and some clever business logic. It's like solving puzzles with a touch of wizardry!
I'm motivated by a combination of curiosity, eagerness, and a little caffeine when I take on a new project because, let's face it, coffee is the secret ingredient to any productive coding session. I take great pleasure in developing tasteful solutions that not only simplify life but also give the digital sphere a refined touch.
Throughout my career, I have successfully developed scalable software solutions, conducted exploratory data analysis, and implemented machine learning models. I am adept at optimizing processes, automating complex tasks, and leveraging cloud technologies for efficient data processing. With strong skills in data visualization and data warehousing, I can extract valuable insights and generate actionable reports.
I have hands-on experience working in Agile environments and have effectively engaged with clients, honing my communication and collaboration skills. This allows me to deliver high-quality solutions while ensuring client satisfaction and maintaining a customer-centric approach. I’ve also had the privilege of working in manufacturing companies, global technology firms and laboratory research with professors.
Here are a few technologies I’ve been working with recently:
- Python
- Big Data
- Node.js
- Machine learning
- SQL
- R
- AWS
- PySpark
- Tableau
- Postgres
Where I’ve Worked
Senior Full Stack Engineer @ TekSolve IT Solutions
Feb 2023 - Present
- Designed a Microservices-based application using Django, FastAPI for backend services, MongoDB for NoSQL data storage, and Docker for containerization, enhancing scalability and resource utilization by 40%.
- Enhanced MapReduce job performance by fine-tuning the algorithm, reducing processing time by 30%.
- Integrated state management libraries (Redux and Vuex), enhancing application maintainability and scalability.
- Implemented Kafka Streams for real-time data analytics, enabling near-instant insights and decision-making.
- Deployed machine learning models through Django-powered dashboards, facilitating direct user interaction through an intuitive web interface and accelerating model deployment time by 30%.
- Developed Spark applications for real-time and batch data processing, integrating with Hadoop and Kafka for a robust data pipeline.
- Orchestrated ML workflows using AWS Step Functions, automating end-to-end pipelines for large-scale data processing, feature engineering, model training, evaluation, and inference, and monitoring pipeline execution for resource constraints achieving 30% reduction in execution time and 50% decrease in errors.
- Engineered and executed robust A/B testing frameworks, rigorously assessing model performance; facilitated smooth model version transitions, enhancing accuracy by 20% and cutting transition errors by 30%.
- Applied advanced machine learning techniques, including supervised and unsupervised learning, deep learning, and ensemble methods, to solve complex business problems.
- Developed and implemented predictive models, leveraging statistical modeling, regression analysis, and machine learning algorithms for accurate forecasting.
- Utilized Python, SQL, and AWS to effectively apply data science techniques such as exploratory data analysis, machine learning model development, and custom data visualization creation, enabling efficient analysis and interpretation of complex datasets.
- Collaborated closely with cross-functional teams and adhered to agile processes to deliver robust, secure, and scalable solutions for machine learning products, fostering enhanced reliability and adaptability in the software development lifecycle.
Some Things I’ve Built
Featured Project
Theatre Seat Allocation
Developed an algorithm for theatre seat allocation through intelligent algorithms and strategic data structures, maximizing seat utilization and accommodating group seating preferences. By considering factors such as proximity to the stage, seat availability, and group requirements, the algorithm creates an optimal seating arrangement for a seamless and enjoyable experience for patrons and organizers alike.
- Python
- DSA
- OOP
Featured Project
Soccer League Application
This application provides detailed insights on player statistics and is able to use multiple filter options to get better results and helps to make beneficial decisions. This database consists of a lot of parameters that define a player’s defensive skills, offensive skills, and goalkeeping skills in a broad view.
- Python
- Node.js
- PostgreSQL
- Flask
Featured Project
911 Emergency Calls Analysis
The aim is to perform a thorough analysis of emergency 911 call records specifically from Montgomery County, PA. By leveraging the power of Python programming language and utilizing the capabilities of SQLite database, the project aims to extract valuable insights from the dataset.
- Python
- SQLite
- Pandas
- Folium
Other Noteworthy Projects
view the archiveCustomer Segmentation Dashboard
The goal is to provide an optimal way to group customers based on their similarities judging everyone based on their common characteristics which will allow businesses to target each group appropriately and effectively. Given the current market competition, it is critical to comprehend customer behavior, types, and interests.
FIFA Analytics Dashboard
Designed the FIFA Dashboard, a game-changing analytics web dashboard developed using Python and R, leveraging advanced machine learning techniques to accurately forecast the release clauses for football players.
What’s Next?
Get In Touch
I’m Actively looking for any opportunities, my inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!
Say Hello