IT Analyst Resume

SUMMARY:

Over 9+ years of experience, worked 6 years as IT Analyst and around 3+ years of experience in providing Business solutions using Statistical techniques, Machine learning algorithms for retail and Manufacturing Industries
Working directly with clients and other stakeholders to understand their business needs 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 executing the analysis
Provided analytical solutions to assist the client’s teams in better business decisions about their strategies in retaining the customers and reduce the revenue loss and manufacturing the products that match the demand of the market.
Good Knowledge on supervised and unsupervised techniques like Regression, Logistic Regression, CHAID,CART, Random Forest, XGBOOST and Cluster analysis, NLP etc…
Good knowledge on R and R studio with business analysis along with all statistical and ML techniques.
Exposure to Python libraries like Numpy, Scipy, Pandas, Keras, matplotlib, tensorflow and Scikit - learn
Working Knowledge in Deep learning with different NN architectures like CNN, RNN and LSTM
Solid experience in handling the unstructured data and performing analysis on unstructured data
Working experience in end to end data science project life cycles from use case framing, data collection, data exploration, model building, deployment
Knowledge of Self driving car technology, Perception, Planning, Control, Sensors used, Apollo platform and dockers

TECHNICAL SKILLS:

Techniques: Statistical, Machine learning techniques

Tools: R, Excel

Database: SQL

Operating System: Windows, Linux

Language: Python, C++

Version Control: Clearcase, Git

PROFESSIONAL EXPERIENCE:

Confidential

IT Analyst

Responsibilities:

Gathering business requirement from client and approach formulation and design methodology to match client requirements
Fetching data from different sources, preparing analysis data from the raw data
Understanding the data behavior through descriptive statistics and exploratory data analysis
Missing values and outlier treatment
Check the existence of trend and seasonality in the data
Applying relevant statistical techniques and neural networks to solve the business problem using R.
Improvise the model until achieving best accuracy
Interpret the results and share key insights to the clients

Confidential

IT Analyst

Responsibilities:

Fetching raw data of demographics, product purchase history, customer information of registered customers.
Comparing the last month transaction of premium customer to current transaction and if the revenue of that customer difference is positive then they are high revenue generating customer and if the difference is negative then will conclude as low generating customer.
To make that decision, derived the variable based on weekly, monthly and two-month revenue difference.
Develop logistic regression using development sample and validate the results using validation sample
Performance of the model is measured using concordance and discordance metrics and generated the result.

Confidential

IT Analyst

Responsibilities:

Gathering sales data of different commodities, different region from database and preparing the data for analyzing based on requirement
Data cleaning and Imputing missing values based on the requirement.
Grouping the data based on the requirement and performed summary statistics
Identified trend and seasonality in the data.
Generated report using dashboard in excel, interpreted the result and shared the insights to the client.

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