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Sales Personal Assistant

Location:
Hyderabad, Telangana, India
Posted:
December 12, 2019

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Resume:

ALAMANDA SIVA SAI SRIRAM

Email: ada2an@r.postjobfree.com

Phone:+917*********

Objective:

Seeking a challenging opportunity in an organization which recognizes and utilizes my true potential while nurturing analytical and technical skills. Summary:

● Good knowledge in Machine Learning Algorithms.

● Good knowledge in statistics.

● Having good knowledge in pre-processing of data using python.

● Good knowledge in data visualization tool- Tableau.

● Good knowledge in Software Development Life Cycle (SDLC). Education:

● S.S.C(10TH CLASS)

Vijaya bharathi public school Duration:2010-2011

83%percentage

● Diploma in Electronics

and communications

engineering.

Godavari Institute of

Engineering & Technology

60% percentage.

● Btech in Electronics &

Communication

Engineering (60%)

Duration:2012-2015

Duration:2015-2019

Projects:

Customer prediction weather to mail or not to mail:Caravan insurance policy Language/Platform: Python2.7/Anaconda/Jupyter Notebook This Framework aims at predicting the understanding of who their potential customers were, they would know more accurately who to send it to, so some of this waste and expense could be reduced.As the data set contains low number of responses being 1 simpler model will give poor results.So I used Logistic regression,Random Forest, Decision Tree, Xgboost,Different classifiers to get better output.

Counterfeit Medicines Sales Prediction:

Language/Platform:Python 2.7/Anaconda/Jupyter Notebook. This Framework aims at predicting Counterfeit medical sales. Counterfeit medicines are fake medicines which are either contaminated or contain the wrong or no active ingredient. Task here is to build a predictive model for predicting sales figures given other information related to counterfeit medicine selling operations.I used Linear Regression to predict the sales figures of Counterfeit Medical Sales. Other projects:

1:Alexa(The personal assistant bot) -- Platform:IoT 2.Real Estate Price Prediction -- Platform:R 3.6.1/R studio 3.Customer identification -- Platform:R 3.6.1/R studio Certifications:

Certified Business Analytics professional -- Duration:6 Months Machine Learning Algorithms: Decision trees, K-means clustering, KNN classification, Random forest, Support Vector Machine (SVM), Gradient Boosting etc. Good knowledge in Statistics.

Achievements:

● Achieved 1st prize in National level Technical symposium held at Gayatri Vidya parishad.

● Achieved Ideal solutions Award for Successfully running Prakruti club by creating good solutions to showcase the Environment Importance to Students.

Hobbies & Interests:

1.surfing through internet on Specific Topics Tech news,Local News,searching for solutions,Mahabaratham.

2.Playing cricket & Volleyball.

3.Gardening.

Personal Information:

Father:Madhusudhana Rao

Mother: Padmavathi

Religion:Hindu

Nationality:Indian

D.O.B:07-04-1996

Date:

Place:



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