Hello!

Hello

I'm Prasanth Kizhakkedath

About

About Me

I am a passionate Full Stack Developer with a flair for crafting dynamic, scalable web applications. With a love for problem-solving and innovation, I thrive in Agile environments, turning ideas into cutting-edge solutions that drive digital transformation!

  • Name: Prasanth Kizhakkedath
  • Address: Berlin, Germany
  • Zip code: 13627
  • Email: prasanthvki@gmail.com

What I have done so far


Company Logo

Data Engineering Working Student

Haensel AMS, Berlin, Germany

Designed and maintained ETL pipelines using Snowflake and dbt, ensuring efficient data ingestion and transformation. Managed Snowflake database administration, optimized SQL queries for large-scale datasets, implemented data quality checks, integrated APIs for data collection, and automated workflows using Apache Airflow.

Dec 2024 - Till date
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M.Sc in Data Science

University of Europe for Applied Sciences

Mar 2024 - Feb 2025
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Full Stack Developer

Brototype, Kerala, India

Designed, implemented, and launched a fully functional e-commerce website within a month, showcasing strong project management and technical skills. Developed robust and scalable web applications using React, Node.js, Python, Django, PostgreSQL, and microservices, enhancing performance and reliability. Collaborated with cross-functional teams for seamless integration of front-end and back-end components. Crafted responsive web designs for an improved user experience, while creating user-friendly APIs to boost functionality and maintain high performance and security standards.

Aug 2023 - Mar 2024
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Civil Police Officer

Keral Police, Kerala, India

Assisted in the collection of intelligence and criminal data to support ongoing investigations and security operations. Regularly engaged in crime data analysis to identify patterns, support preventive measures, and aid in the preparation of internal reports.

Dec 2020 - Aug 2023
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Assistant Engineer

KSEB, Kerala, India

Monitored and analyzed energy meter readings across multiple distribution points to ensure accurate billing and detect anomalies. Conducted grid data analysis to identify load patterns, voltage fluctuations, and potential faults, supporting effective decision-making for power distribution. Played a key role in maintaining a stable and efficient power supply by optimizing energy usage and addressing system inefficiencies. Coordinated with field teams for data validation and implemented corrective actions to maintain service reliability and customer satisfaction.

Oct 2012 - Nov 2020
University Logo

Degree in EEE

Periyar Maniammai University

Mar 2008 - Apr 2012

Skills

My Skills

Python

95%

Djngo

95%

Node JS

85%

AWS

80%

SQL

90%

React

90%

Projects

My Projects

Vogue Villa

Developed a fully functional e-commerce platform using Django, PostgreSQL and AWS.

#Python #SQL #PostgreSQL #Javascript #Django #AWS #Paypal #Bootstrap

Citizen Incident Report System

Created a reporting system for citizens to report incidents, developed using Django and React.

#Python #SQL #PostgreSQL #Django #AWS #React #Docker #RabbitMQ #Celery #Redux #RestAPI #Microservice #JWT #Django Channels

FLIGHT FARE PREDICTION APP

Developed a flight fare prediction app utilizing machine learning with RandomForestRegressor, along with preprocessing using pandas and NumPy. Created an interactive UI using Django and React.

#Python #PostgreSQL #Django #React #Machine learning #Pandas #Numpy #RandomForestRegressor

OLX Clone

Discover a straightforward OLX clone built with React and Firebase backend. Perfect for learning purposes, this project offers a simplified version of the popular online marketplace platform.

#Python #Firebase #Django #React

Datascience-challenge-Adstock-Model

Task The challenge is set in the context of performance marketing and we want you to apply a bayesian mixed-media model (MMM) on our test dataset an interpret the insights from the model. Build the MMM with the latest PyMC package (https://www.pymc.io/).

#Python #Machine learning #Pandas #Numpy #RandomForestRegressor #Pymc

HAMS_Data_Quality_Challenge

Analysis of e-commerce data to identify potential data quality issues. Explores campaign costs, conversion patterns, and customer journey attribution. The project includes a Jupyter Notebook with visual insights and detailed explanations on data inconsistencies and trends.

#Python #Python #Pandas #Numpy #MatplotLib

Contact

Contact Me

Write me @ prasanthvki@gmail.com