Name: VIKAS
Profile: Full Stack DATA SCIENTIST
Email: mlvikas19@gmail.com
WhatsApp: (+91) 8447711866
Skill
Python 90%About me
Welcome to my profile! I'm an experienced Full Stack Data Scientist with over 7 years of expertise in data analytics and machine learning. My skills span Machine Learning, Big Data Analytics, Cloud Environments, Spark, Data Ingestion, Transformation, Data Visualization, Workflow Management, Hadoop Ecosystem, and Agile/Scrum methodologies.
I'm proficient in a range of machine learning algorithms, from clustering to ensemble methods and time series forecasting, allowing me to build predictive models for various applications. I also have a strong foundation in big data analytics, cloud platforms like AWS and Azure, and in-depth knowledge of Apache Spark. Furthermore, I excel in data ingestion and transformation using tools like Sqoop, Flume, Hive, and Spark, as well as data visualization with Tableau and Power BI. My familiarity with MLOps tools ensures efficient workflow management. Explore my profile further to see how I can contribute to your data analytics and machine learning endeavors.
With a strong foundation in Data Science and Cloud technologies, I've had the privilege of collaborating with a diverse clientele and contributing to numerous edtech and startup ventures as an Artificial Intelligence Consultant. My educational background includes a prestigious certification in Artificial Intelligence and Machine Learning from the Indian Institute of Technology (IIT) Kanpur, along with a master's degree in computer science with a specialization in machine learning. I'm open to discussions and opportunities in the fields of data science and artificial intelligence. If you're interested in potential collaborations or gaining further insights into my expertise, please feel free to contact me at
WhatsApp: (+91) 8447711866
.Services
"Data is the present trend to life"
Data Science
Able to handle real time Data Science classes and Projects works.
Big Data Analytics
Skilled in Big Data technologies encompassing data processing, warehousing, data lakes, analytics platforms, and database
Cloud Environments
Experienced with cloud platforms such as AWS and Azure for data analytics and processing.
Artificial Intelligence
Able to work as Researcher in Artificial Intelligence.
Data Visualization
Proficient in creating informative data visualizations and dashboards with tools like Tableau and Power BI.
Web Development
Able to work with HTML, CSS, Django, FLask and many more.
10
WORKS COMPLETED4
YEARS OF EXPERIENCE15
TOTAL CLIENTS3
PROGRESSClients
"Get closer than ever to your customers. So close that you tell them what they need well before they realize it themselves." -Steve Jobs
My overall experience with Machine Learning was good. I was provided with regular notes and practice problems after each class along with case studies related to current scenario to keep me engaged in learning throughout the course.
I really enjoyed the online course.This course is really informative the thing I really liked. The instructor was so supportive that he help us with every doubt we are suffering from . I thought it was well planned course.. Thank you so much.
Blog
“AI doesn’t have to be evil to destroy humanity – if AI has a goal and humanity just happens to come in the way, it will destroy humanity as a matter of course without even thinking about it, no hard feelings.”- Elon Musk, Technology Entrepreneur, and Investor
Article
About OPENCV and Deep Learning Frameworks
OpenCV was started at Intel in 1999 by Gary Bradsky, and the first release came out in 2000. Vadim Pisarevsky joined Gary Bradsky to manage Intel’s Russian software OpenCV team. In 2005, OpenCV was used on Stanley, the vehicle that won the 2005 DARPA Grand Challenge. Later, its active development continued under the support of Willow Garage with Gary Bradsky and Vadim Pisarevsky leading the project.
Research
A Comparative Analysis on Various Extreme Multi-Label Classification Algorithms
In the field of machine learning, the boom in big data has opened a variety of new research problems due to the availability of the extremely huge online data. Extreme Multi-Label Learning (XML) is the most challenging and popular among them. XML addresses the problem of learning a classifier that can automatically tag a data sample with the most relevant subset of labels from a given large label set.
Research
A Review of Omega Based Portfolio Optimization
Portfolio optimization aims to pick risky assets to meet the goal of maximizing the return and minimizing the risk. One should model the best combination of assets by striving the optimal relationship between risk and return for an appropriate investor even when the constraints are present. This paper aims to study the risk measure Conditional Value At Risk with constraints, that are added in a portfolio and are analyzed in the optimization problem