Project Trainee Resume

SUMMARY

In - depth knowledge of Data Analytics with an emphasis on ML, AI, NLP, Statistical Analysis.
Motivated and passionate to learn new technical and personal skills.
Good Collaborated with excellent interpersonal communication, orchestrated, mentoring and multi-tasking, follow-up & presentation skills, a strong rapport with associates at all levels & disciplines, excellent team member with the ability to lead projects.
Considered as a well-organized employee with “can-do” attitude.

TECHNICAL SKILLS

Analysis Tools: MS Excel, R Studio, Tableau, SQL Server

Programming: Python, R, SQL, SAS, Big Data (Hive, Map Reduce, Pig, Impala, HDFS, AWS)

Analysis Techniques: Text Mining, Supervised and Unsupervised algorithms (Linear, Logistic, SVM, Decision Tree, Random Forest, K-means, KNN, PCA, NLP), classification, regression, NumPy, Pandas, TensorFlow, Keras, Scikit-Learn, Matplotlib

PROFESSIONAL EXPERIENCE

Confidential

Project Trainee

Responsibilities:

World’s largest cooperative in fertilizer sector; Confidential has retained its number 1 position in Fertilizer & Argo Chemical sectors. Project is based on to find the working capital situation of the company.
Performed Cost Analysis to helping in improve working capital Pay creditors to ensure continued supplies of goods and services.
Performed some interesting predictive analysis by using time-series analysis of products raw material demand.
Trained a team of four employees on application functionality of 150 applications, technical know-how and resolution techniques in production support projects, refining the resolution rates of the team by 60%.

Confidential

Training Project Coordinator

Responsibilities:

Supported to the Product Development Team in project work by developing new beverage products.
Assisted in batching, analytical testing, flavor screening, QC / QA equipment calibration, keeping lab materials stocked, and helping maintain a clean and orderly laboratory.
Learned formulation and process basics across a wide variety of beverage matrices including juices & protein drinks.
Analyzed customer data to solve frequent occurring issues and incidents reported in Citrix. Proposed solutions helped to improve customer satisfaction rate by 20%.

Confidential

Predictive Analysis

Responsibilities:

Identified the future demand patterns of wind energy in Texas within next 5 years by using Regression Models and ARIMA forecast model from the past ERCOT 10 years of total energy consumption data and 3 years of wind hourly load data.

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