Malode Sakshi Gokul

Malode Sakshi Gokul

Data Science Intern
India

About Me

Highly motivated recent graduate with a Master's in Applied Statistics seeking a position in Data Science or data analytics. Dedicated to leveraging skills in Python, R, SQL, and statistical analysis.

Experience

Machine Learning Intern

Technophilia
Apr 2023 - Sep 2023 · 5 months

<p>Implemented machine learning algorithms for predictive modeling and forecasting.<br>
Documented data engineering processes and best practices.</p>

Data Science Intern

RacksonsIT Developers
Jun 2023 - Aug 2023 · 2 months

<p>Implemented advanced statistical analysis and machine learning techniques using Python and R.<br>
Developed predictive models for gold price forecasting and wine quality prediction.<br>
Tackled model management challenges.<br>
Contributed to projects involving statistical-econometric methods and large-scale experimentation.<br>
Integrated data science solutions into tangible products.<br>
Executed data preprocessing and feature engineering.<br>
Designed and deployed machine learning models.<br>
Conducted algorithmic analysis and model training to reduce training time significantly.<br>
Collaborated on interdisciplinary projects.<br>
Interacted with data science groups to understand major engineering challenges and propose solutions.</p>

Skills

Data Evaluation Microsoft Excel Python SQL Database Statistics Advanced Analytics Data Science R Programming Language SPSS Statistics SQL MS Excel PowerPoint Word Minitab Google Sheets Supervised machine learning Unsupervised machine learning Forecasting Classification Decision Trees Decision Algorithms Random Forest Neural Networks Deep Learning Algorithms Statistical Techniques Big Data Analytics Tableau Power BI Problem-Solving Predictive Analytics Prescriptive Analytics Parametric models Non-parametric models Regression Time Series Statistical Learning Communication Teamwork Perform Under Pressure Data preprocessing Feature engineering Model training Algorithmic analysis Machine learning Statistical analysis Data visualization K-means Clustering Logistic regression Multiple linear regression
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