Karthikeyan A - Cryptocurrency Price Prediction using Machine Learning Algorithms

Q: Where is Karthikeyan based?

Karthikeyan is based in Berlin, Germany .

Q: What languages does Karthikeyan speak?

Karthikeyan speaks the following languages: English (Advanced), German (Elementary) .

Q: How many years of experience does Karthikeyan have?

Karthikeyan has at least 4 years of experience. During this time, Karthikeyan has worked in at least 8 different roles and for 1 company . The average length of individual experience is 5 months . Note that Karthikeyan may not have shared all experience and actually has more experience.

Q: What is Karthikeyan's latest experience?

Karthikeyan's most recent position is Cryptocurrency Price Prediction using Machine Learning Algorithms .

Q: What companies has Karthikeyan worked for in recent years?

In recent years, Karthikeyan has worked for CommScope .

Q: Which industries is Karthikeyan most experienced in?

Karthikeyan is most experienced in industries like Telecommunication , Information Technology (IT) , Media, and Entertainment and Publishing . Karthikeyan also has some experience in Banking and Finance .

Q: Which business areas is Karthikeyan most experienced in?

Karthikeyan is most experienced in business areas like Information Technology (IT) , Quality Assurance (QA) , and Business Intelligence . Karthikeyan also has some experience in Research and Development (R&D) and Finance .

Q: What is Karthikeyan's education?

Karthikeyan holds a Master in Data Science from University of Europe for Applied Sciences and a Bachelor in Information Science from Visvesvaraya Technological University .

Q: What is the availability of Karthikeyan?

Karthikeyan is immediately available full-time for suitable projects.

Recommended expert

Berlin, Germany

Experience

Mar 2025 - Jul 2025

5 months

Cryptocurrency Price Prediction using Machine Learning Algorithms

Designed, implemented, and evaluated multiple machine learning models (e.g., regression, time series, neural networks) to forecast cryptocurrency prices, incorporating data preprocessing, feature engineering, and model optimization for improved predictive accuracy.
Performed in-depth data exploration and visualization on large cryptocurrency datasets, using tools like Python and libraries such as Pandas and Matplotlib to identify trends and patterns.

Oct 2024 - Jan 2025

4 months

Advanced Research Methodologies – Adversarial Machine Learning

Conducted an in-depth study on applying adversarial machine learning techniques to enhance malware detection and classification, outlining background, objectives, methodology, and anticipated findings in a 15-page presentation for the Advanced Research Methodologies course.
Designed a structured research plan including thesis statement, source origins, anticipated challenges, recommendations, and references, focusing on the role of adversarial machine learning in cybersecurity, presented as part of a collaborative academic project.

Apr 2024 - Aug 2024

5 months

Cloud Computing - Netflix Data Visualization Project using Amazon QuickSight

Developed and customized dashboards using a Netflix dataset stored in an S3 bucket with filters to generate bar graphs comparing release years and types using Amazon QuickSight.
Integrated an S3 bucket with QuickSight for data analysis by successfully connecting via a manifest.json file with the appropriate URI, enabling seamless data import and visualization of CSV-based Netflix show data.

Apr 2024 - Aug 2024

5 months

Data Visualization - Most Streamed Spotify Songs 2023

Conducted exploratory data analysis on the Spotify 2023 dataset to identify missing values (e.g., 5.25% in Shazam charts, 9.97% in key) and data types to prepare for visualization and trend analysis in music attributes like danceability and energy.
Computed missing value percentages and structured data on song features (e.g., streams, playlists across platforms) to uncover patterns in popularity, release dates, and audio characteristics for a comprehensive music streaming study.

Apr 2024 - Aug 2024

5 months

Machine Learning – Weather Prediction

Implemented a Random Forest model for weather prediction in Google Colab using scikit-learn to forecast weather conditions based on historical data features like temperature, humidity, pressure, and wind speed from a CSV dataset.
Uploaded and analyzed a weather prediction CSV file in Pandas, displaying data frames to examine patterns in variables such as date, time, and environmental metrics to prepare for model training.

Oct 2023 - Jan 2024

4 months

Hybrid

Data Analytics - Hybrid Recommendation System

Designed and implemented a hybrid recommendation system for Netflix movies and TV shows using content-based and collaborative filtering techniques, integrating machine learning models and NLP with NLTK to enhance recommendation accuracy.
Conducted exploratory data analysis on a Netflix dataset, visualizing key patterns (e.g., genre distribution, top directors) using Matplotlib and Seaborn, executing data cleaning, and applying feature engineering techniques including target-guided encoding and binary feature creation for cast, directors, and genres, achieving high accuracy, precision, and recall scores across multiple models.

Oct 2023 - Jan 2024

4 months

Data Engineering - Titanic Project

Designed and implemented a data pipeline in GCP using Apache Airflow to load and process the Titanic dataset into BigQuery, creating user-managed service accounts and enabling APIs for seamless data integration and management.
Established a connection between BigQuery and Looker Studio to build a comprehensive dashboard, enabling effective data exploration and visualization of the Titanic dataset insights.
Configured and monitored Directed Acyclic Graphs (DAGs) in Airflow to orchestrate data processing tasks, ensuring efficient execution and validation of data loaded into BigQuery from public datasets.

Nov 2020 - Apr 2023

2 years 6 months

Bengaluru, India

Automation Engineer

CommScope

Designed and developed an infrastructure and manpower resource allocation website for creating projects, release names, and builds using web technologies.
Redesigned and developed a tool called IHCDTS (Integrated-Home Continuous Development Test System) to track Wi-Fi test chambers in the lab, allowing users to view chamber status and generate test reports.
Performed detailed inspection of cable modems, routers, and gateways, developing and implementing new test cases and analyzing the performance and quality of existing ones.
Analyzed automation test scripts and performed mobile app testing using the Appium tool.
Achieved 80% test coverage, reducing product defects by 25% and increasing test coverage effectiveness by 90% by streamlining existing test cases and developing new ones.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Telecommunication (2.5 years), Information Technology (1 year), Banking and Finance (0.5 years), and Media and Entertainment (0.5 years).

Telecommunication

Information Technology

Banking and Finance

Media and Entertainment

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (3.5 years), Quality Assurance (2.5 years), Business Intelligence (1 year), Finance (0.5 years), and Research and Development (0.5 years).

Information Technology

Quality Assurance

Business Intelligence

Finance

Research and Development

Skills

Ai Productivity Tools: Replit, Gemini, Copilot
Data Science: Tableau, Powerbi, Tensorflow, Pandas, Numpy, Scikit-learn
Cloud: Docker
Programming Languages: C, Python, Shell Script, Javascript
Ci/cd: Maven, Jenkins, Github
Platform: Linux, Window, Macos

Languages

English

Advanced

German

Elementary

Education

Oct 2023 - Aug 2025

University of Europe for Applied Sciences

Data Science · Data Science · Potsdam, Germany

Aug 2016 - Jul 2020

Visvesvaraya Technological University

Bachelor of Engineering, Information Science · Information Science · Bengaluru, India

Profile

Created

September 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Karthikeyan based?

Karthikeyan is based in Berlin, Germany.

What languages does Karthikeyan speak?

Karthikeyan speaks the following languages: English (Advanced), German (Elementary).

How many years of experience does Karthikeyan have?

Karthikeyan has at least 4 years of experience. During this time, Karthikeyan has worked in at least 8 different roles and for 1 company. The average length of individual experience is 5 months. Note that Karthikeyan may not have shared all experience and actually has more experience.

What roles would Karthikeyan be best suited for?

Based on recent experience, Karthikeyan would be well-suited for roles such as: Cryptocurrency Price Prediction using Machine Learning Algorithms, Advanced Research Methodologies – Adversarial Machine Learning, Cloud Computing - Netflix Data Visualization Project using Amazon QuickSight.

What is Karthikeyan's latest experience?

Karthikeyan's most recent position is Cryptocurrency Price Prediction using Machine Learning Algorithms.

What companies has Karthikeyan worked for in recent years?

In recent years, Karthikeyan has worked for CommScope.

Which industries is Karthikeyan most experienced in?

Karthikeyan is most experienced in industries like Telecommunication, Information Technology (IT), Media, and Entertainment and Publishing. Karthikeyan also has some experience in Banking and Finance.

Which business areas is Karthikeyan most experienced in?

Karthikeyan is most experienced in business areas like Information Technology (IT), Quality Assurance (QA), and Business Intelligence. Karthikeyan also has some experience in Research and Development (R&D) and Finance.

What is Karthikeyan's education?

Karthikeyan holds a Master in Data Science from University of Europe for Applied Sciences and a Bachelor in Information Science from Visvesvaraya Technological University.

What is the availability of Karthikeyan?

Karthikeyan is immediately available full-time for suitable projects.

What is the rate of Karthikeyan?

Karthikeyan's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.