Summary
Education
Skills
Experience
Responsibilities
projects
certification
Timeline
Generic

Dinesh sadanand

Data science
Hyderabad

Summary

Certified Data Scientist| Proficient in Python.SQL,and Machine Learning,Data-Analysis|Passionate About Data-Driven insights|Open to Opportunities


Education

Bachelor of Technology - Computer Science(Ai&Ml)

Mallareddy Institute of Technology And Science
Hyderabad, India
04.2001 -

Skills

    Data science

    Data Analytics

    Artificial Intelligence

    Machine Learning

    Deep Learning

    Computer vision

    Python

    Statistical Modeling

    SQL

    Exploratory Data Analysis

    Data Cleaning

    Data Wrangling

    Data Mining

    Data Visualization

    Neural Networks

    Mathematics

    Natural Language Processing

    ML Pipeline

    Optimization

    Deployment

Experience

  • Experience in 20+ real- time Data Science & Analytics Projects from Various domains
  • Experience in delivering End to End analytical solutions converting multiple technologies & tools to multiple business problems
  • Experience in statistical modeling, machine learning, data mining ,unstructured data analytics
  • Experience building and designing complex data science solutions
  • Experience building and designing complex data science solutions
  • Solved Challenging and muddy problems by leveraging the fundamentals of Data Science and Analytics to analyze large amount of information to discover trends and pattern
  • Design & execute experiments and analyze experimental results


Responsibilities

  • Responsible for data mining or extracting usable data from valuable data sources and undertake preprocessing of structured and unstructured data by enhancing data collection procedures to include all relevant information for developing analytics system
  • Processing,cleansing,and validating the integrity of data to be used for analysis
  • Developed predictive models by implementing Machine Learning and Probabilistic Algorithm and combined models through ensemble to solve complex business problems
  • Analyzing large amount of information to find pattern and solutions
  • Develop and maintain robust data processing pipelines and reproducible modeling pipelines
  • Present information using data visualization techniques.

projects

project1 : medical bill prediction

Domain: health insurance

Description : prediction of medical charges based on the person health condition 

Algorithm :LinearRegression,DecisionTreeRegressor, RandomForestRegressor,XGBregressor

Skills: Data Analysis,Exploratory data Analysis, Data cleaning,Machine learning

Tools: Jupyter notebook,pandas,matplotlib,seabon,Sklearn,XGboost


project2:cricket player performance

Domain: cricket player performance level

Description : categorizing the cricketer players 

Algorithm: K means clustering ,unsupervisiedlearning

Skills: Data Analysis,Exploratory data Analysis,data Visualization,Data cleaning

Tools :Anaconda,Jupyter Notebook,Pandas,Matplotlib,Seaborn,k-means clustering,Sklearn


project3: face-mask-detection

Domain:detecting the face mask in pandamic

Description:detecting the facemask in pandamic 

Algorithm: Convolutional neural network

Skills: Computer vision,Python,Deep Learning

Tools: google colab,python,Numpy,Sklearn,matplotlib,opencv


project 4:Sentiment analysis

Domain: Imdb Movie review Analysis

Description: Based on review analysising it Positive or Negative

Algorithm: Sequential,Dense,Embedding,,Tokenizer,LSTM

Skills: Python,Neural Network,Artificial Intelligence,

Tools: google colab,Python,Pandas,Sklearn,Tensorflow,Keras


Project5:text-Image generation,text -summarization

Domain: genarative ai based on the information

Algorithm: pipeline,transormers,Hugging face models

Skills: Generative AI,Data science

Tools: Google colab,ML pipelines ,transormers


certification

Top 3 percentile in Kaggle competition

Full stack Data Science & Ai from nasscom

MIcrosoft Azure Ai certification

Timeline

Bachelor of Technology - Computer Science(Ai&Ml)

Mallareddy Institute of Technology And Science
04.2001 -
Dinesh sadanandData science