I love to build utility apps and solve real world problems. I am ambitious and hard working individual with a sheer curiosity into the emerging technologies of the software world. Skilled in python, C, C++,data structures, algorithms,data science,machine learning and deep learning. I like to contribute in open source projects too.
Priyam kakati
+91-6001591627
BTech in computer science and engineering • April 2017-july 2021
Machine Learning,Statistical Methods in AI,Computer Vision,Compilers,Optimization Methods,Digital Image Processing,Database Systems, Intro to Databases ,Artificial Intelligence ,Computer Graphics ,Operating Systems,Computer System Organization ,Computer Programming,Data Structures,Algorithms
Data scientist• october 2021 - April 2022
Tasks-
• Collected the data from the clients and created the chatbot intents and entities based on the client's need.
• Used AWS lex for NLU part and creation of the bots and deployed the bots using flask api.
Data scientist• october 2021 - April 2022
Tasks-
• Collected the data from the clients and annotated the images for training data and exported the data into
pascal-voc format.
• Used deep learning techniques to train various object detection models like mask-rcnn,yolo-v3,Yolo-v4 for detecting
various shipping containers and container numbers through drone videos.
•Extracted the container numbers from the containers using ocr recognition methods.
Wrote a python script to automate all the process of the pipeline and deployed the model in amazon aws.
Software engineering intern • April 2020 - june 2020
Tasks-
•Worked on building a technical screener for various stock indices.
• Created several strategies based on different technical indicators.
• Backtested the strategies and later optimised the strategies for better return % for 1 and 5 min trading.
• Created an webapp by using flask REST api and deployed the model in amazon AWS cloud.
Tools-Python,pandas,TA-lib,backtesting.py,Flask,HTML,CSS,Bootstrap,AWS>
Tools-Python,pandas,sklearn,keras,tensorflow,matplotlib,Azure cloud.
Data science intern • May 2020 - August 2020
Tasks-
• Worked with stakeholders to determine how to use business data for
valuable business solutions and generate problem statements.
• Collaborated with engineering and product development teams.
• Built predictive models using machine-learning, deep learning algorithms.
• Undertook preprocessing of structured and unstructured data.
• Combined models through ensemble modelling. Presented information using data visualisation techniques.
Tools-Python,pandas,sklearn,keras,tensorflow,matplotlib,Azure cloud.
Data science intern• April 2020 - June 2020
Tasks-
• Collected covid 19 hotline numbers of various states of the top infected countries and cleaned up the raw data in a structured format using pandas.
• Made the tableau dashboard for New Case Analysis connected to a live data source.
• Gathered data of worldwide air routes (last updated 2014), Government travel
measures (Unicef data) and air passenger traffic data (last updated 2018).
• Prepared a dashboard in Tableau showing all flight routes from a source airport (option to select)
highlighting the source and destination countries.
Tools-Python,Tableau,Scrapy,Beautifulsoup,pandas
• Languages: Python, C++, SQL, Bash, JAVA(basic)
• Frameworks: Scikit-learn, NLTK, SpaCy, TensorFlow, Keras, Django, Flask,Spark
• Tools: Jupyter notebook, Docker, GIT, PostgreSQL, SQLite
• Platforms: Linux, Windows, Azure,AWS
• Soft Skills: Leadership, Event Management, Writing, Public Speaking, Time Management