Rupashree Dev

 RUPASHREE DeV Mobile:- Software Engineer Location : Banglore ,India E-Mail :-OBJECTIVE : Seeking a position to utilize my skills and abilities of using Python with Data Analytics in the corporate sector and work in that offers professional growth while being resourceful, innovative and flexible. SUMMARY Total 4+ years of IT/ Tech Work Experience 4+ Years Work Experience in Data Science with Machine Learning, Data Analytics and Data Visualization , 4+ years Work Experience as Python Developer in Agile/Scrum environment to deliver high quality automation tool Experience in Statistical Modeling / Machine Learning methods with hands on experience handling data driven decisions Proficiency in statistical and other tools/languages – Python Ability to work on structured, semi-Structured and un-structured data Processing, cleansing, and verifying the integrity of data used for analysis Knowledge and Basic Exposer in modeling techniques - Reliability models, Markov Models, Stochastic models, Bayesian Modeling, Classification Models, Cluster Analysis, Neural Network, Time Series analysis, NLP Models, Multivariate Statistics Hands- on experience in building predictive models using Supervised and Unsupervised Machine learning algorithms: Regression, Classification, Clustering and Natural language processing Strong knowledge in Deep Learning methods such as Artificial Neural Networks and Convolutional Neural Networks  Develop forecasting models for key business services and answers to key questions  Skill Scripting Languages : python ,MYSql Machine Learning libraries : Scikit ,SKlearn – “Linear_Model ,Cross_validation ,Preprocessing, SVM,Tree ,Ensemble ,Matrix, Neighbors, Apriori ,Naïve_Bayes, FeatureExteraction ” , statsmodel.formula.API , NLTK -Corpus , PorterStemmer, Deep Learing : tensorflow,Keras -LayersModels, Other Libraries : numpy, tkinter, Pandas, Seaborn,Matplotlib,pymysql Operating System : Linux/Unix, Win XP, 7, 8.1 Deployment Tools : eclipse, Shell IDE, Anoconda, spark-shell , IPython Notebook/Jupyter Proffesional EXPERIENCE Jan 2018 – Present date IQVIA – LanGUAGE tRANSLATION eNGINE Projects Summary: Neural Machine Translation (Translation Management System) Extracting all the PDFs from the Shared Drive and segregation into Scanned, Digitalized and dead PDFs Identifying and Predicting various types of noises present in the PDFs and cleaning up of PDFs. Development of sentence boundary detection models based on Neural nets for multiple language and integration in the existing pipeline. Applied Regression algorithms such as Logistic Regression, KNN classifier, SVM, Random forest and Deep learning methods such as Convolution Neural Networks Dec 2014 – Jan 2018 Ericsson – MBNL UK(EE & 3UK) Projects Summary: KPI Analysis and Optimization Predicting the Network Key performance Indicator(Accessibility, retainability, mobility, Integrity ) for UK customer Developed a classification model on given historical data for predicting network parameter KPI for both improvement and degradation.  Applied Regression algorithms such as Logistic Regression, KNN classifier, SVM, Random forest and Deep learning methods such as Artificial Neural Networks Projects Summary : Traffic Churn capacity modeling Built a classification model on given historical data to analyze the churning behavior of traffic on clusters and individual nodes , deliver insights to increase network retention capacity and product/service development.  Applied classification algorithms such as Logistic Regression, Naïve Bayes, Decision Trees and Deep Learning methods - Artificial Neural Networks.  Projects Summary : Network Capacity Optimization  Built an Association Rule Mining model on given historical & latest Network Capacity data to improve additional product like license ,software, Capacity upgrade cards. Applied ARM algorithms such as Apriori for determining patterns like Network behavior in a certain time period.    Projects Summary : Practice Improvement Platform The platform acquires data from shared server in mobile telecom Sector and provides an analysis and intelligent algorithms to monitor and to reduce Daily Drive Process, and manage time providing services and solutions for the frontend user. Performed descriptive analysis to gain basic insights into the dataset, summary statistics, data cleaning, analyzing features highly impacting the target, data visualization (included ggplot2), correlation among variables Responsible for domain knowledge analysis, design, build, deploy statistical applications to solve real-world problems like data analytics Used Python to extract the Drive Data availability information from XML files and analyzing with graphs and maps Developed Machine Learning Models to predict the analysis and Packet Data Drop for the Drive Test Logs File Optimizing factors for the manual conversions and the designing an algorithm for deal recommendations Architecting and implementing analytics and visualization components for the device data analysis platform to predict the observations Designed and developed the UI of the Drive Log Tool using Python, Designed and developed data management system EDUCATION: Institute Board Examination Y.O.P Hill Top School ICSE 10 2008 Hill Top School ISC- Kalinga Institute of Industrial Technology (KIIT) KIIT University B.Tech (EEE) 2014 ACHIVEMENTS: Awarded as the “Rockstar” from the UK client due for development of “Drive Log tool” in Jan2018. Appreciated for decision-making skills based on DDD concept to optimize the network performance thereby helping the client company gaining profit and reducing working time. Personal Details: Address: M-22/9,Kharangajhar Market, Telco-Colony, Jamshedpur-831004 Date of Birth: 24th March, 1992. Passport: Date of Expiry: L-/04/2024 Language known: English | Bengali | Hindi E-mail: - Job Preferences Job Category: Python, Machine Learning, Data Science, Data Analytics Job Type: Any Job Type Job Status: Flexible Desired Location: Not Specified Willing to Relocate: Yes