Yogesh Fulari - Data Scientist and Data Analyst
๐ About Me:
I am a dedicated and results-driven Data Scientist and Data Analyst with over 2 years of professional experience in the field. My passion for transforming complex data into actionable insights has fueled my journey, enabling me to contribute effectively to decision-making processes and business growth. I thrive on tackling challenging problems and leveraging data-driven strategies to optimize outcomes.
๐ Skills:
Data Analysis: Proficient in performing exploratory data analysis (EDA) using Python and R to uncover trends, patterns, and outliers. Skilled in data preprocessing, cleansing, and transformation to ensure data quality and integrity.
Machine Learning: Experienced in developing and deploying machine learning models for predictive and classification tasks. Familiar with algorithms such as regression, decision trees, random forests, support vector machines, and clustering techniques.
Statistical Analysis: Proficient in applying statistical methods to extract meaningful insights from data. Able to conduct hypothesis testing, A/B testing, and regression analysis to make informed decisions.
Data Visualization: Skilled in creating visually appealing and informative data visualizations using tools like Matplotlib, Seaborn, and Tableau. Effective at conveying complex information to both technical and non-technical audiences.
SQL: Proficient in writing SQL queries to retrieve, manipulate, and analyze data from relational databases. Capable of designing and optimizing database structures for efficient data retrieval.
Big Data Tools: Familiar with working with big data technologies such as Hadoop and Spark, enabling processing and analysis of large datasets.
Tools and Libraries: Experienced in using Python, R, Jupyter Notebooks, pandas, scikit-learn, TensorFlow, Keras, SQL, Tableau, Excel, and other relevant tools for data analysis and visualization.
Data Cleaning and Preprocessing: Skilled in handling missing data, outlier detection, and data imputation techniques to ensure the accuracy and reliability of analytical results.
Domain Knowledge: Demonstrated expertise in (mention any specific industries or domains you've worked in, e.g., finance, healthcare, e-commerce) and a keen ability to translate domain-specific challenges into data-driven solutions.
Communication: Strong written and verbal communication skills, with a track record of presenting findings and insights to stakeholders, collaborating with cross-functional teams, and driving data-informed decision-making.
| ๐ Nationality | ๐ฎ๐ณ India |
| ๐ก Residency | ๐ฎ๐ณ India |
| ๐ Location | ๐ฎ๐ณ India |
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| Skilled in | exploratory analysis statistical techniques sql python r machine learning data ethics supervised unsupervised learning deep learning model evaluation feature engineering nlp time series analysis |
| Fluent in | englishhindimarathikannada |
| Preferred hourly pay (min) | $10/hour |
| Last seen | 2 years ago |
| Signed up | 2 years ago |
| Badges |
๐จโ๐ป Remote worker ๐จ Maker ๐ Early adopter |
2022 - 2023: NLP
2022 - 2023: Credit card fraud detection
2021 - 2022: Time series forecasting
2022 - 2023: PG Data Science @ Excelr Solution
2016 - 2020: Engineering and technology @ MCE Nilanga