Hello!
I am a computer science graduate student from University at Buffalo with an inquisitive mindset looking for an opportunity to work in the cutting-edge field of machine learning and software development by applying my technical and analytical problem-solving skills.
I have an experience of 2.5 years working as a full-stack developer and as a data scientist developing products and implementing strategic initiatives. Skilled in .NET framework, Web Development, Object-Oriented Design, C#, Python, ChatBot development, SQL Server and various Javascript libraries. I also exhibit good leadership skills and have led independent community programs to empower women with technology by hosting regular technical workshops, collaborating in groups to work on different technologies. I am always very passionate and eager to share my knowledge and ideas with others. This passion has inspired me to author three technical books- “Reinforcement Learning With Open AI, TensorFlow, and Keras Using Python”, “Neural Networks in Unity”, “Beginning AI Bot Frameworks Getting Started with Bot Development”.
In my free time, you can find me reading books, enjoying nature, or travelling to new places.Having been to different places and connecting with people from different cultures I realized that we all are more alike than we are different.
- Full Name
Manisha Biswas
- Location
Buffalo, New York, United States
- Phone No
Skills
Platforms
- AWS
- GCP
- Tableau
- Microsoft Bot Framework
- Microsoft Azure
- Truffle
- Remix
Frameworks
- Scikit-Learn
- NLTK
- TensorFlow
- Keras
- ASP.Net MVC
- PySpark
- Hadoop
- MapReduce
Languages
- Python
- C#
- Java
- SQL
- Solidity
Web Technology
- Node JS
- Go JS
- HTML5
- CSS3
- Javascript
- JQuery
- Bootstrap
Tools
- Kubernetes
- Docker
- GIT
- Apache
- MySQL
- SQL Server
Concepts
- Machine Learning
- Analysis of Algorithms
- Data Structure
- Computer Vision and Image Processing
- Blockchain
- Database Management System
- Distributed Systems
- SDLC
- Agile Methodology
Work Experience
- Developed a studio (AppseConnect Workflow) to implement diagrammatic workflows and automate the data and control flow of integration among various applications such as eCommerce, CRM, and ERP using C#, Visual Studio, Go.js, Knockout.js, SQL Server, Microsoft Azure.
- Designed a rule engine to provide decision making capability to Workflow by which user can create a rule specific to their business needs and trigger an action like email, raise a support ticket
- Created logic elements to split, merge, or aggregate data directly and halt, resume, or schedule processes within the workflow.
- Workflow helps the user to graphically create, view, and change the data flow for a process by quickly dragging and dropping the logic elements and automate their data integration process.
- Developed responsive User Interface for AppseConnect Cloud Portal using HTML5, Bootstrap, and CSS3.
- Worked in Agile Methodology to communicate and demonstrate the product features to the product owners.
- Co-ordinated with the QA team during UAT cycles to prepare test reports.
- Worked in a pharmaceutical solutions project designing and developing an application bot to answer specific business logic questions for US-based clients using C#, LUIS, Microsoft Bot Framework, Visual Studio, Microsoft Azure.
- Integrated Tableau Rest APIs with the bot to show tableau reports as images based on user queries.
- Responsible for implementing an end to end life cycle of a software project starting from design document creation to post-implementation support.
- Worked and contributed by delivering projects and articles on Intel technologies like Intel Open Vino toolkit, Intel Dev Cloud.
- Intel exhibitor at SIGGRAPH 2018, Vancouver, Canada for demonstrating the project ”Path Learner” also received the travel grant from Intel Corporation.
- Conducted 5 hours workshop on “Building Augmented Reality Android App with Unity and Vuforia on Intel Architecture” at University of Petroleum and Energy Studies, Dehradun.
- Featured in Intel Innovators of Tomorrow video series.
- Awarded by Intel Top Innovator Award for consecutive three years 2017, 2018 and 2019.
- Conducted online and offline technical & soft skills training impacting more than 2500 professionals and students.
- Organized “Google DevFest 2019”, Kolkata, India with two technical tracks (Cloud and Mobile) having more than 20 speakers and more than 500 participants.
Insync Tech-Fin Solutions Ltd. — Software Developer
July 2016 - Nov 2017
Kolkata, India
Optiks Innovations Pvt. Ltd. — Data Scientist
Dec 2017 - Oct 2018
Kolkata, India
Intel Software Innovator
May 2016 – Present
Organizer : GDG Kolkata
May 2017 – Aug 2019
Projects
Audio Situational Awareness Device
Technologies Used: Python, Java, ReSpeaker Core v2.0, Android Studio, GCP
The ASA device is intended to help deaf people listen to anybody and engage openly in group discussions as it involves working with a hardware platform i.e the ReSpeaker Core v2.0 which captures speech and expands it to work with Google Translation API to provide the speech to text translation functionality. The speech is then displayed as a text message on an Android-based application. Also developed an ML model to uniquely identify a speaker based on frequency spectrogram, word utterances, etc. by gathering samples from a set of speeches from the audio suitable for the speech classifier.
Big Data Processing with Hadoop
Technologies Used: Python, Hadoop, MapReduce
Implemented basic text processing tasks from scratch on the Hadoop framework such as implementing a MapReduce algorithm to calculate wordcount, tri-grams around the keywords, produce an inverted index for the customized dataset, join two datasets using a primary key, and implement the KNN algorithm.
Drug Discovery and Repurposing
Technologies Used: Python, IBM RXN, DeepChem Library
Developed a Machine Learning model to identify new drugs and test its toxicity. Performed a comparative study on the TOX21 dataset implementing different algorithms, such as. Graph Convolutional Network, Generative Adversarial Network, and received a satisfactory result of 99% for Graph Convolutional Network.
Movie Genres Prediction Based on Plot Summaries
Technologies Used: Python, Pyspark, CMU Movie Summary Corpus dataset
Worked on a multi-label classification problem and developed a model for predicting movie genres based on plot summaries provided in CMU Movie Summary Corpus dataset using PySpark. The model achieved a satisfactory result to predict all the genres associated with the movie.
Electing World Bank President
Technologies Used: Blockchain, Remix, Solidity, Truffle, Ganache,Web3.js
Developed a decentralized end to end voting application to elect world bank president with Upvote and Downvote feature.
Binge-Watch: Alexa PC skill
Technologies Used: Python, C#, Amazon Alexa Skill for PC, AWS, Visual Studio
The 'Binge-watch' is a PC-based Alexa skill that recommends movies based on a person's previously searched or viewed movies. It is an implementation of traditional machine learning models integrated with Alexa.
Path Learner
Technologies Used: C#, Python, Unity Game Engine, Unity ML agents toolkit,TensorFlow
Trained a simulated environment using Reinforcement Learning approach in Unity to work on its own in the most efficient manner.
Samurai AR
Technologies Used: C#, Unity Game Engine, Vuforia, Android Studio
Developed an app that uses a smartphone camera as an AR camera providing interactive experience by displaying a 3D model over the target image.
Publications
Blogs
Awards
Featured
Recommendations
People I've worked with have said some nice things...
Well, One of the very active tech enthusiasts I have seen in my entire career. Very organized, curious and technically sound person Manisha is. Manisha has been doing a lot of wonderful and appreciative tasks which uplifts the technical knowledge of Women through lot of special programmes. I Have seen her talking/delivering lectures in various conferences and sessions and it is very inspiring. Her involvement in the Intel Innovator community is a certain value add to the community. She is an amazing talent, yet, down to earth and reachable. Wish you good luck Manisha!
