pavan deepak thatikonda
Summary
Accomplished student, pursuing Msc data science eager to apply knowledge and gain practical experience. Experienced working in team environments. Reputation for hard work, punctuality and willingness to learn new things
Passionate data scientist with a Master's degree in Data Science from University of hertfordshire. Experienced in leveraging data-driven insights to solve complex problems and drive business growth. Proficient in various data analysis and machine learning techniques, with expertise in predictive modeling, natural language processing, computer vision. Skilled in programming languages such as Python and R, and proficient in using tools like TensorFlow, Scikit-Learn, and SQL. Adept at visualizing data and communicating findings effectively to both technical and non-technical stakeholders.
🚀 Key Skills:
- Data Analysis & Visualization
- Machine Learning Algorithms
- Statistical Modeling
- Predictive Analytics
- Data Mining
- Natural Language Processing
- Deep Learning
- Big Data Technologies (e.g., Hadoop, Spark)
- Database Management Systems (e.g., MySQL, MongoDB)
🔧 Tools & Technologies:
- Python: NumPy, Pandas, Matplotlib, Seaborn
- R Programming
- TensorFlow, Keras, PyTorch
- SQL, NoSQL
- Tableau, Power BI
- Git, GitHub
- Jupyter Notebook, Google Colab
🌐 Relevant Coursework:
- Machine Learning
- Data Mining
- Statistical Analysis
- Big Data Analytics
- Data Visualization
- Database Systems
Overview
4
4
years of professional experience
4
4
years of post-secondary education
Work history
Inter
Uniparts pvt lt
Narsipatnam, India
- Communicated ideas and information clearly and concisely, both verbally and in writing
- Used strong work ethic to meet stringent deadlines.
- Wrote and edited articles for company's website.
Head of production
Sattvick Aquponics
Vizag, India
2018.07 - 2022.07
Aquaponics is a sustainable farming method that combines aquaculture (raising aquatic animals) and hydroponics (cultivating plants in water) in a symbiotic environment. In aquaponic systems, aquatic animals like fish, snails, or shrimp are raised in tanks, and their waste produces nutrients like ammonia. These nutrients are then converted by beneficial bacteria into nitrates and nitrites, which serve as fertilizer for plants.
The plants, typically vegetables or herbs, are grown hydroponically, meaning their roots are submerged in nutrient-rich water rather than soil. The plants absorb the nutrients, helping to purify the water for the aquatic animals. In turn, the purified water is recirculated back into the aquatic tanks, creating a closed-loop system where both plants and animals benefit from each other.
- Held team meetings to discuss product value and vision while allowing team members to give ideas and suggestions.
- Evaluated current production processes and made forward-thinking adjustments to improve output.
- Reviewed and analysed production performance indicators and requirements to maximise output quality.
- Reviewed production issues and implemented corrective action plans, enhancing operational efficiency.
Education
Master of Science - data science
University of Hertfordshire
Hatfield, Hertfordshire 2022.12 -
bachelor of engineering - electrical and electronics engineering
Andhra university
Vizag, India 2014.06 - 2018.07
Skills
- SQL
- Software applications
- Advanced critical thinking
- Data collection and analysis
- Data mining
Accomplishments
- Participated in data visualisation workshop
- Attended work shops on solar chargers and solar energy in techfest -Mumbai(2016 - 2017)
- Collaborated with team of 4 in development of transportation calcualtor application.
projects
Star Clustering Project :
Developing a star clustering algorithm for astronomy, this project aims to automatically classify stars in images. It involves preprocessing to enhance data, extracting features like celestial coordinates and magnitude, and applying clustering algorithms such as K-means. Cluster validation ensures accuracy, followed by post-processing for refinement. Visualization tools aid in analyzing clustered data. The project supports astronomical research by identifying celestial objects, mapping star distributions, and studying stellar populations. Expected deliverables include the implemented clustering algorithm and visualization tools, completed within the specified timeline.
Languages
Telugu, Hindi
Native language
English
Advanced
C1
Timeline
Master of Science - data science
University of Hertfordshire
2022.12 -
Head of production
Sattvick Aquponics
2018.07 - 2022.07
bachelor of engineering - electrical and electronics engineering
Andhra university
2014.06 - 2018.07
Inter
Uniparts pvt lt