Smita P.

Smita P.

Expert Machine Learnig Engineer in Python

Pune , India

Experience: 10 Years

Smita

Pune , India

Expert Machine Learnig Engineer in Python

37020 USD / Year

  • Immediate: Available

10 Years

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About Me

  • Hands on experience in Base R programming, Python.
  • Strong background in Machine Learning, NLP, Algorithm writing.
  • Good command on statistical techniques like Regression, Classification, Clustering, Natural Langua...
  • Strong working experience in SQL Server
  • Experience in entire data science life cycle, i.e., source =>clean=>explore=>communicate.
  • Strong experience in converting unstructured data into structured and workable datasets.
  • Expertise in data modeling techniques and data exploration techniques using various statistical tools.
  • Strong analytics experience into statistical requirements like recommendation & optimization.
  • Adapt and adhere to industry standards while working with multi-cultural teams.
  • Worked directly with clients and other stakeholders to understand their business need and design methodology, execute analysis, interpret results and generate key insights.
  • Experience in executing the project end to end right from deriving the business case to sharing the key business insights to clients after the analysis.

 

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Portfolio Projects

Loan Default - prediction Modelling

Company

Loan Default - prediction Modelling

Description

1. Worked on data gathering, data cleaning, data modelling,

2. Worked on explorative data analysis

3. Outlier and missing value detection and tratement

4. Data Imbalance

5. Features Selection

6. Building Classification Model

7. Evaluating Accuracy and other metrics

8.  Parameter Tuning

9.  Finalize the Model5.

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Cluster Analysis - Price Segmentation

Company

Cluster Analysis - Price Segmentation

Description

1. Applied the hierarchical clustering and plotted the dendrogram.

2. Identified the 3 cluster- High spending, medium spending and Low spending - with help of dendrogram

3. compared the results with k-means clustering.

4. By making use of this data, company can announce various offers to various segments

5. Applied hierarchical clustering , Agglomerative Clustering, Kmeans clustering, Python, Pnadas, numpy

 

 

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Author Identification -Text analysis

Company

Author Identification -Text analysis

Description

Wrote data pre-processing scripts

  1. Normalization: is to clean data to obtain better features
  2. converting all letters to lower or upper case
  3. removing numbers
  4. removing punctuations
  5. removing stop words, sparse terms, and particular / rare words
  6. spelling correction
  7. stemming:  removal of suffices,
  8. Lemmatization: converts the word into its root word, rather than just stripping the suffices.

2. Worked on Feature extraction by Tf-idf, CountVectorizer, Singular Vector Decomposition (SVD) and Feature Engineering
3. This is developed using Python, NLP and Machine Learning like Naïve Bays, XGboost. 

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Employee Attrition Classification Problem

Company

Employee Attrition Classification Problem

Description

Task was to predict attrition of the employees given the behavioural data and related historic attrition. Decision Tree, Random Forest

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Skills

Python

Tools

Sql Browser

Toxicty Classification

Company

Toxicty Classification

Description

A main area offocuse is machine learning model that can identify toxicity in on line conversation where toxicity is define as some thing like disrespectful statment. This is NLP project

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Tools

Git Github

Text Clasification (Text Summerasition )

Company

Text Clasification (Text Summerasition )

Description

Gennerating a meaningful summery from the different type fo text

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Tools

Git Github